Role Overview: We are seeking a highly experienced and visionary Azure Solution Architect to design and implement our next-generation data platform. This role will be instrumental in architecting end-to-end data solutions, integrating advanced AI features, and ensuring the highest standards of data quality, management, and security. You will work closely with our Data Engineering team, providing technical mentorship and strategic guidance to deliver high-impact data products, including interactive AI-driven applications and dashboards. While primarily an architectural role, the candidate must also be willing and able to actively contribute to data engineering development activities when required, ensuring practical implementation aligns with strategic design.
Key Responsibilities:
Solution Architecture & Design: Design and architect scalable, reliable, and secure end-to-end data solutions on Azure, primarily leveraging Databricks Lakehouse Platform. This includes defining data models, storage strategies, and integration patterns aligned with business and enterprise architecture standards.
Technical Mentorship: Provide technical mentorship to a team of Data Engineers, fostering a culture of innovation, best practices, and continuous improvement.
Data Platform Development: Oversee the development and optimization of data pipelines (ETL/ELT) using PySpark and Spark SQL within the Databricks environment, ensuring efficiency and scalability for large-scale data processing.
AI Feature Integration & Application Development: Architect and integrate advanced AI/ML capabilities into the data platform. This includes leveraging Databricks features for developing AI chatbots, data manipulation agents and designing Databricks Webapps for interactive data experiences.
AI/BI Dashboard Development: Lead the design and development of sophisticated AI/BI dashboards within the Databricks ecosystem, enabling insightful data visualization and advanced analytical reporting for business users.
Data Governance, Quality & Security: Define and implement robust data quality frameworks, data management strategies and security protocols across Databricks workspaces, including access control, data lineage, and compliance with regulatory and organizational standards. Expertise in Unity Catalog is a must-have for centralized data governance.
Performance Optimization: Drive performance optimization initiatives for Databricks Spark clusters, including configuration, tuning, and resource management to ensure cost-efficiency and optimal workload execution.
Data Warehouse Model Design: Hands-on experience in designing and implementing dimensional data models (star/snowflake schemas) and other data warehousing concepts for analytical workloads.
Stakeholder Collaboration: Collaborate with Product Owners, business leaders, and analytics teams to translate complex business requirements into technical solutions and present architectural proposals.
Continuous Improvement: Stay abreast of emerging technologies, industry trends, and Databricks features, recommending improvements and modernization opportunities across the data ecosystem.
Responsibilities
Role Overview: We are seeking a highly experienced and visionary Azure Solution Architect to design and implement our next-generation data platform. This role will be instrumental in architecting end-to-end data solutions, integrating advanced AI features, and ensuring the highest standards of data quality, management, and security. You will work closely with our Data Engineering team, providing technical mentorship and strategic guidance to deliver high-impact data products, including interactive AI-driven applications and dashboards. While primarily an architectural role, the candidate must also be willing and able to actively contribute to data engineering development activities when required, ensuring practical implementation aligns with strategic design.
Key Responsibilities:
Solution Architecture & Design: Design and architect scalable, reliable, and secure end-to-end data solutions on Azure, primarily leveraging Databricks Lakehouse Platform. This includes defining data models, storage strategies, and integration patterns aligned with business and enterprise architecture standards.
Technical Mentorship: Provide technical mentorship to a team of Data Engineers, fostering a culture of innovation, best practices, and continuous improvement.
Data Platform Development: Oversee the development and optimization of data pipelines (ETL/ELT) using PySpark and Spark SQL within the Databricks environment, ensuring efficiency and scalability for large-scale data processing.
AI Feature Integration & Application Development: Architect and integrate advanced AI/ML capabilities into the data platform. This includes leveraging Databricks features for developing AI chatbots, data manipulation agents and designing Databricks Webapps for interactive data experiences.
AI/BI Dashboard Development: Lead the design and development of sophisticated AI/BI dashboards within the Databricks ecosystem, enabling insightful data visualization and advanced analytical reporting for business users.
Data Governance, Quality & Security: Define and implement robust data quality frameworks, data management strategies and security protocols across Databricks workspaces, including access control, data lineage, and compliance with regulatory and organizational standards. Expertise in Unity Catalog is a must-have for centralized data governance.
Performance Optimization: Drive performance optimization initiatives for Databricks Spark clusters, including configuration, tuning, and resource management to ensure cost-efficiency and optimal workload execution.
Data Warehouse Model Design: Hands-on experience in designing and implementing dimensional data models (star/snowflake schemas) and other data warehousing concepts for analytical workloads.
Stakeholder Collaboration: Collaborate with Product Owners, business leaders, and analytics teams to translate complex business requirements into technical solutions and present architectural proposals.
Continuous Improvement: Stay abreast of emerging technologies, industry trends, and Databricks features, recommending improvements and modernization opportunities across the data ecosystem.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Description
Project Manager Experience: 6–9 years Location: Bangalore Role Summary Manage end-to-end delivery of implementations and enhancements, ensuring projects are delivered on time, within scope and budget, while meeting quality and customer expectations. Key Responsibilities • Lead Project implementations • Plan, execute, and track project scope, develop and maintain project plans, schedule and budget • Track milestones, dependencies, risks, and issues • Manage stakeholders and cross-functional delivery teams • Ensure adherence to Agile/Waterfall, SDLC, and ServiceNow best practices • Provide regular status updates and project documentation Required Skills • Strong project management experience • Good understanding of ServiceNow platform and ITIL processes • Experience with Agile/Scrum and Waterfall methodologies • Excellent communication and stakeholder management skills Soft Skills • Excellent communication and presentation skills • Strong leadership and decision-making abilities • Customer-focused mindset • Ability to manage multiple projects simultaneously
Responsibilities
Description
Project Manager Experience: 6–9 years Location: Bangalore Role Summary Manage end-to-end delivery of implementations and enhancements, ensuring projects are delivered on time, within scope and budget, while meeting quality and customer expectations. Key Responsibilities • Lead Project implementations • Plan, execute, and track project scope, develop and maintain project plans, schedule and budget • Track milestones, dependencies, risks, and issues • Manage stakeholders and cross-functional delivery teams • Ensure adherence to Agile/Waterfall, SDLC, and ServiceNow best practices • Provide regular status updates and project documentation Required Skills • Strong project management experience • Good understanding of ServiceNow platform and ITIL processes • Experience with Agile/Scrum and Waterfall methodologies • Excellent communication and stakeholder management skills Soft Skills • Excellent communication and presentation skills • Strong leadership and decision-making abilities • Customer-focused mindset • Ability to manage multiple projects simultaneously
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Description:
About the Role:
We are seeking a talented and experienced Backend Allrounder to join our Performance Management Team at Indirect Procurement. If you have a passion for transforming data into actionable insights and building impactful dashboards and reports, this is the role for you.
Key Responsibilities:
Design, develop, and maintain the existing and new indirect procurement data infrastructure
Design, setup and align with all stakeholders data model for analytics & reporting within indirect procurement at new global NPM Suite
Connect to various data sources and perform data transformations
Collaborate with business stakeholders to gather requirements and deliver data-driven solutions
Ensure data accuracy, coordination and support in cross-functional error resolution
Bring your data to life in Microsoft Power BI
Required Technical Skills:
5+ years of hands-on experience within related IT infrastructure
Strong proficiency in Data infrastructure, Analytics, and data modeling
Solid understanding of ERP systems
First experiences with cloud-based platform applications for data analytics and artificial intelligence like Databricks
Experience with Power BI
Soft Skills:
Analytical Thinking: Ability to interpret complex data and derive insights
Communication: Clear and effective communication with technical and non-technical stakeholders
Collaboration: Team player with strong interpersonal skills
Problem-Solving: Proactive approach to identifying and resolving issues
Adaptability: Comfortable working in dynamic environments
Attention to Detail: High accuracy in data handling and reporting
Time Management: Ability to prioritize tasks and meet deadlines
Responsibilities
Description:
About the Role:
We are seeking a talented and experienced Backend Allrounder to join our Performance Management Team at Indirect Procurement. If you have a passion for transforming data into actionable insights and building impactful dashboards and reports, this is the role for you.
Key Responsibilities:
Design, develop, and maintain the existing and new indirect procurement data infrastructure
Design, setup and align with all stakeholders data model for analytics & reporting within indirect procurement at new global NPM Suite
Connect to various data sources and perform data transformations
Collaborate with business stakeholders to gather requirements and deliver data-driven solutions
Ensure data accuracy, coordination and support in cross-functional error resolution
Bring your data to life in Microsoft Power BI
Required Technical Skills:
5+ years of hands-on experience within related IT infrastructure
Strong proficiency in Data infrastructure, Analytics, and data modeling
Solid understanding of ERP systems
First experiences with cloud-based platform applications for data analytics and artificial intelligence like Databricks
Experience with Power BI
Soft Skills:
Analytical Thinking: Ability to interpret complex data and derive insights
Communication: Clear and effective communication with technical and non-technical stakeholders
Collaboration: Team player with strong interpersonal skills
Problem-Solving: Proactive approach to identifying and resolving issues
Adaptability: Comfortable working in dynamic environments
Attention to Detail: High accuracy in data handling and reporting
Time Management: Ability to prioritize tasks and meet deadlines
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Description
Job Title: ETL Solution Architect (Enterprise Data Platforms – Informatica, Palantir, MS Fabric) Shape Job Summary We are seeking an experienced ETL Solution Architect to design, implement, and govern enterprise-scale data integration and data platform solutions across hybrid and cloud environments. The ideal candidate will provide architectural leadership across multiple enterprise data platforms including Informatica PowerCenter, Informatica Intelligent Data Management Cloud (IDMC), Palantir Foundry, and Microsoft Fabric, ensuring scalability, performance, governance, and operational stability of data pipelines supporting analytics, reporting, and operational use cases. This role combines deep ETL architecture, data engineering, platform administration, and production support responsibilities, while driving modernization of legacy ETL ecosystems into distributed, cloud-native, and ontology-driven data platforms. The position supports enterprise data strategy initiatives including GDMP, enabling governed data access, lineage, and integration across diverse systems and platforms. Shape Key Responsibilities Solution Architecture & Data Integration · Design and implement enterprise data integration architectures across multiple platforms including Informatica, Palantir Foundry, and Microsoft Fabric. · Define and standardize data ingestion patterns including batch, micro-batch, real-time (API/CDC), and event-driven architectures. · Architect scalable data pipelines enabling ingestion, transformation, and delivery of large-scale ERP, financial, and operational datasets. · Design cross-platform integration strategies ensuring seamless interoperability between ETL platforms, data lakes, data warehouses, and analytics systems. Shape Platform Administration & Engineering · Architect, configure, and manage Informatica PowerCenter and IDMC environments alongside modern data platforms such as Palantir Foundry and Microsoft Fabric. · Establish platform standards for deployment, configuration, monitoring, and lifecycle management across distributed environments. · Design and implement high-availability, scalable, and fault-tolerant data processing
environments. · Monitor system health, platform performance, and resource utilization across all data integration platforms. Security & Access Management · Define and implement enterprise-wide data security models including RBAC, data-level security, and policy-driven access controls across platforms. · Configure authentication and identity integration (LDAP, Active Directory, SSO) across ETL and data platforms. · Ensure compliance with enterprise data governance policies and regulatory requirements. Performance & Optimization · Monitor and optimize data pipelines across Informatica, Palantir, and Fabric platforms for performance, scalability, and reliability. · Tune ETL workflows, SQL queries, and distributed data processing jobs to handle high-volume data workloads. · Identify and resolve bottlenecks across ingestion, transformation, storage, and consumption layers. Backup & Disaster Recovery · Design and implement enterprise-grade backup, recovery, and disaster recovery strategies across ETL and modern data platforms. · Ensure resiliency and data integrity across hybrid and cloud-based environments. Support & Troubleshooting · Provide L2/L3 production support across ETL, data pipelines, and distributed data platforms. · Troubleshoot failures across Informatica workflows, Palantir pipelines, and Fabric data processes. · Perform root cause analysis and implement long-term performance and stability improvements. · Coordinate with infrastructure, database, and application teams to resolve cross-platform issues. Job Scheduling & Orchestration
· Design and implement enterprise pipeline orchestration strategies across scheduling tools (AutoSys, Control-M) and platform-native orchestration frameworks. · Manage dependencies, event-driven triggers, and execution flows across multi-platform data pipelines. · Ensure SLA adherence for batch and near real-time data processing workloads. Environment Management · Manage deployment, migration, and promotion of code across environments (Dev, QA, Prod) across all platforms. · Standardize environment configurations and deployment processes across ETL and cloud platforms. · Maintain architecture documentation, configuration standards, and governance artifacts. Data Engineering & Modern Platform Integration · Design and implement scalable data engineering solutions using Palantir Foundry (pipelines, ontology modeling) and Microsoft Fabric (data engineering, lakehouse architectures). · Enable ontology-driven semantic data modeling and governed data access within Palantir platforms. · Architect modern lakehouse and data fabric solutions leveraging Microsoft Fabric for unified analytics and reporting. · Integrate traditional ETL platforms with modern data ecosystems to support hybrid data architectures. · Support GDMP initiatives by enabling data lineage, metadata management, and governed data accessibility across platforms. Required Qualifications · Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field. · 8+ years of experience in ETL, data integration, or enterprise data platform engineering. · Strong experience with Informatica PowerCenter and/or Informatica IDMC. · Hands-on experience with modern data platforms such as Palantir Foundry and/or Microsoft Fabric. · Strong understanding of data integration patterns, pipeline orchestration, and distributed data processing. · Strong SQL skills and experience with relational and analytical data platforms.
· Experience with Linux/Windows environments and enterprise platform administration. · Experience with job scheduling tools such as AutoSys or Control-M. · Strong understanding of data governance, security, and enterprise data architecture. Preferred Qualifications · Experience designing hybrid architectures integrating ETL platforms with cloud-native data ecosystems. · Strong experience with ontology-driven data modeling and semantic layer design (Palantir). · Experience with Microsoft Fabric lakehouse, data engineering, and analytics capabilities. · Familiarity with GDMP or enterprise data governance frameworks. · Experience with high-availability and distributed data processing architectures. · Experience supporting enterprise-scale data warehouse and analytics environments. Technical Skills · Informatica PowerCenter / Informatica IDMC (IICS, CDI) · Palantir Foundry (Data Pipelines, Ontology Modeling) · Microsoft Fabric (Data Engineering, Lakehouse, Analytics) · ETL Architecture & Data Integration Design · SQL & Database Performance Optimization · Linux / Windows Administration · Job Scheduling (AutoSys, Control-M) · Data Pipeline Orchestration · Data Governance & Security (RBAC, LDAP, SSO) Soft Skills · Strong troubleshooting and analytical skills · Ability to operate under production SLAs in high-pressure environments · Strong documentation and governance discipline · Effective communication with cross-functional teams
· Ability to translate complex technical concepts into business-aligned solutions
Responsibilities
Description
Job Title: ETL Solution Architect (Enterprise Data Platforms – Informatica, Palantir, MS Fabric) Shape Job Summary We are seeking an experienced ETL Solution Architect to design, implement, and govern enterprise-scale data integration and data platform solutions across hybrid and cloud environments. The ideal candidate will provide architectural leadership across multiple enterprise data platforms including Informatica PowerCenter, Informatica Intelligent Data Management Cloud (IDMC), Palantir Foundry, and Microsoft Fabric, ensuring scalability, performance, governance, and operational stability of data pipelines supporting analytics, reporting, and operational use cases. This role combines deep ETL architecture, data engineering, platform administration, and production support responsibilities, while driving modernization of legacy ETL ecosystems into distributed, cloud-native, and ontology-driven data platforms. The position supports enterprise data strategy initiatives including GDMP, enabling governed data access, lineage, and integration across diverse systems and platforms. Shape Key Responsibilities Solution Architecture & Data Integration · Design and implement enterprise data integration architectures across multiple platforms including Informatica, Palantir Foundry, and Microsoft Fabric. · Define and standardize data ingestion patterns including batch, micro-batch, real-time (API/CDC), and event-driven architectures. · Architect scalable data pipelines enabling ingestion, transformation, and delivery of large-scale ERP, financial, and operational datasets. · Design cross-platform integration strategies ensuring seamless interoperability between ETL platforms, data lakes, data warehouses, and analytics systems. Shape Platform Administration & Engineering · Architect, configure, and manage Informatica PowerCenter and IDMC environments alongside modern data platforms such as Palantir Foundry and Microsoft Fabric. · Establish platform standards for deployment, configuration, monitoring, and lifecycle management across distributed environments. · Design and implement high-availability, scalable, and fault-tolerant data processing
environments. · Monitor system health, platform performance, and resource utilization across all data integration platforms. Security & Access Management · Define and implement enterprise-wide data security models including RBAC, data-level security, and policy-driven access controls across platforms. · Configure authentication and identity integration (LDAP, Active Directory, SSO) across ETL and data platforms. · Ensure compliance with enterprise data governance policies and regulatory requirements. Performance & Optimization · Monitor and optimize data pipelines across Informatica, Palantir, and Fabric platforms for performance, scalability, and reliability. · Tune ETL workflows, SQL queries, and distributed data processing jobs to handle high-volume data workloads. · Identify and resolve bottlenecks across ingestion, transformation, storage, and consumption layers. Backup & Disaster Recovery · Design and implement enterprise-grade backup, recovery, and disaster recovery strategies across ETL and modern data platforms. · Ensure resiliency and data integrity across hybrid and cloud-based environments. Support & Troubleshooting · Provide L2/L3 production support across ETL, data pipelines, and distributed data platforms. · Troubleshoot failures across Informatica workflows, Palantir pipelines, and Fabric data processes. · Perform root cause analysis and implement long-term performance and stability improvements. · Coordinate with infrastructure, database, and application teams to resolve cross-platform issues. Job Scheduling & Orchestration
· Design and implement enterprise pipeline orchestration strategies across scheduling tools (AutoSys, Control-M) and platform-native orchestration frameworks. · Manage dependencies, event-driven triggers, and execution flows across multi-platform data pipelines. · Ensure SLA adherence for batch and near real-time data processing workloads. Environment Management · Manage deployment, migration, and promotion of code across environments (Dev, QA, Prod) across all platforms. · Standardize environment configurations and deployment processes across ETL and cloud platforms. · Maintain architecture documentation, configuration standards, and governance artifacts. Data Engineering & Modern Platform Integration · Design and implement scalable data engineering solutions using Palantir Foundry (pipelines, ontology modeling) and Microsoft Fabric (data engineering, lakehouse architectures). · Enable ontology-driven semantic data modeling and governed data access within Palantir platforms. · Architect modern lakehouse and data fabric solutions leveraging Microsoft Fabric for unified analytics and reporting. · Integrate traditional ETL platforms with modern data ecosystems to support hybrid data architectures. · Support GDMP initiatives by enabling data lineage, metadata management, and governed data accessibility across platforms. Required Qualifications · Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field. · 8+ years of experience in ETL, data integration, or enterprise data platform engineering. · Strong experience with Informatica PowerCenter and/or Informatica IDMC. · Hands-on experience with modern data platforms such as Palantir Foundry and/or Microsoft Fabric. · Strong understanding of data integration patterns, pipeline orchestration, and distributed data processing. · Strong SQL skills and experience with relational and analytical data platforms.
· Experience with Linux/Windows environments and enterprise platform administration. · Experience with job scheduling tools such as AutoSys or Control-M. · Strong understanding of data governance, security, and enterprise data architecture. Preferred Qualifications · Experience designing hybrid architectures integrating ETL platforms with cloud-native data ecosystems. · Strong experience with ontology-driven data modeling and semantic layer design (Palantir). · Experience with Microsoft Fabric lakehouse, data engineering, and analytics capabilities. · Familiarity with GDMP or enterprise data governance frameworks. · Experience with high-availability and distributed data processing architectures. · Experience supporting enterprise-scale data warehouse and analytics environments. Technical Skills · Informatica PowerCenter / Informatica IDMC (IICS, CDI) · Palantir Foundry (Data Pipelines, Ontology Modeling) · Microsoft Fabric (Data Engineering, Lakehouse, Analytics) · ETL Architecture & Data Integration Design · SQL & Database Performance Optimization · Linux / Windows Administration · Job Scheduling (AutoSys, Control-M) · Data Pipeline Orchestration · Data Governance & Security (RBAC, LDAP, SSO) Soft Skills · Strong troubleshooting and analytical skills · Ability to operate under production SLAs in high-pressure environments · Strong documentation and governance discipline · Effective communication with cross-functional teams
· Ability to translate complex technical concepts into business-aligned solutions
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Key Responsibilities
Front-End Development
· Develop responsive and interactive user interfaces using Angular (preferred) or React JS
· Work with TypeScript, RxJS, and UI component libraries (e.g., PrimeNG, Material UI)
· Implement state management (NgRx, Redux or equivalent)
· Build reusable, modular, and maintainable UI components
· Ensure cross-browser compatibility, responsiveness, and accessibility
· Optimize front-end performance (lazy loading, code splitting, caching)
---
Back-End Development
· Design and develop RESTful APIs using Python frameworks (Flask / FastAPI / Django)
· Implement business logic, validation, and error handling
· Handle large-scale data processing, pagination, and caching strategies
· Ensure API security using JWT, OAuth2, Azure AD (MSAL)
---
Database Management
· Design, develop, and optimize databases using RDBMS (MS SQL Server, MySQL, PostgreSQL)
· Write efficient SQL queries, joins, stored procedures, and indexing strategies
· Perform performance tuning and query optimization
· Ensure data integrity, consistency, and scalability
---
DevOps & Cloud Deployment
· Manage source code using Git (branching strategies, PR reviews)
· Implement and maintain CI/CD pipelines using Azure DevOps (mandatory) or GitHub Actions
· Deploy and manage applications on Azure (App Services, Functions, Storage, etc.)
· Work with containerization (Docker – good to have)---
Performance, Security & Compliance
· Conduct performance optimization across front-end and back-end layers
· Follow secure coding practices and implement authentication/authorization mechanisms
· Ensure compliance with data security and governance standards
· Monitor applications and troubleshoot production issues
---
Collaboration & Agile Practices
· Work in Agile/Scrum teams, participating in sprint planning, reviews, and retrospectives
· Collaborate with product owners, designers, and stakeholders
· Contribute to code reviews, documentation, and knowledge sharing
---
Required Skills
Front-End
· Strong experience in Angular (preferred) or React JS
· Proficiency in TypeScript, JavaScript, HTML5, CSS3
· Experience with RxJS, component-based architectures
· Familiarity with UI libraries (PrimeNG / Material UI / Bootstrap)
---
Back-End
· Strong proficiency in Python
· Hands-on experience with at least one framework: Flask / FastAPI / Django
· Experience in designing and developing REST APIs
---
Database
· Hands-on experience with Relational Databases (MS SQL Server / MySQL / PostgreSQL)
· Strong understanding of SQL, indexing, normalization, and performance tuning
---
DevOps
· Strong experience with Git
· Mandatory experience in Azure DevOps (CI/CD pipelines)
· Exposure to cloud services (Azure preferred)
---
Good to Have Skills
· Experience with Microservices architecture
· Knowledge of Docker / Kubernetes
· Familiarity with Caching (Redis, Flask-Caching)
· Experience with Testing frameworks (Jest, Karma, PyTest, etc.)
· Exposure to Azure AD authentication and enterprise integrations
· Understanding of logging/monitoring tools (App Insights, ELK, etc.)
Responsibilities
Key Responsibilities
Front-End Development
· Develop responsive and interactive user interfaces using Angular (preferred) or React JS
· Work with TypeScript, RxJS, and UI component libraries (e.g., PrimeNG, Material UI)
· Implement state management (NgRx, Redux or equivalent)
· Build reusable, modular, and maintainable UI components
· Ensure cross-browser compatibility, responsiveness, and accessibility
· Optimize front-end performance (lazy loading, code splitting, caching)
---
Back-End Development
· Design and develop RESTful APIs using Python frameworks (Flask / FastAPI / Django)
· Implement business logic, validation, and error handling
· Handle large-scale data processing, pagination, and caching strategies
· Ensure API security using JWT, OAuth2, Azure AD (MSAL)
---
Database Management
· Design, develop, and optimize databases using RDBMS (MS SQL Server, MySQL, PostgreSQL)
· Write efficient SQL queries, joins, stored procedures, and indexing strategies
· Perform performance tuning and query optimization
· Ensure data integrity, consistency, and scalability
---
DevOps & Cloud Deployment
· Manage source code using Git (branching strategies, PR reviews)
· Implement and maintain CI/CD pipelines using Azure DevOps (mandatory) or GitHub Actions
· Deploy and manage applications on Azure (App Services, Functions, Storage, etc.)
· Work with containerization (Docker – good to have)---
Performance, Security & Compliance
· Conduct performance optimization across front-end and back-end layers
· Follow secure coding practices and implement authentication/authorization mechanisms
· Ensure compliance with data security and governance standards
· Monitor applications and troubleshoot production issues
---
Collaboration & Agile Practices
· Work in Agile/Scrum teams, participating in sprint planning, reviews, and retrospectives
· Collaborate with product owners, designers, and stakeholders
· Contribute to code reviews, documentation, and knowledge sharing
---
Required Skills
Front-End
· Strong experience in Angular (preferred) or React JS
· Proficiency in TypeScript, JavaScript, HTML5, CSS3
· Experience with RxJS, component-based architectures
· Familiarity with UI libraries (PrimeNG / Material UI / Bootstrap)
---
Back-End
· Strong proficiency in Python
· Hands-on experience with at least one framework: Flask / FastAPI / Django
· Experience in designing and developing REST APIs
---
Database
· Hands-on experience with Relational Databases (MS SQL Server / MySQL / PostgreSQL)
· Strong understanding of SQL, indexing, normalization, and performance tuning
---
DevOps
· Strong experience with Git
· Mandatory experience in Azure DevOps (CI/CD pipelines)
· Exposure to cloud services (Azure preferred)
---
Good to Have Skills
· Experience with Microservices architecture
· Knowledge of Docker / Kubernetes
· Familiarity with Caching (Redis, Flask-Caching)
· Experience with Testing frameworks (Jest, Karma, PyTest, etc.)
· Exposure to Azure AD authentication and enterprise integrations
· Understanding of logging/monitoring tools (App Insights, ELK, etc.)
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Description: Skills and Qualifications
· 6+ years of experience in SAP MM, with a strong focus on Master Data Management.
· In-depth knowledge of SAP S/4HANA MM including configuration of Vendor Master, Material Master, and Business Partner. ·
Hands-on experience with Fiori apps, workflow, and output management. · Strong understanding of data integration via IDOCs, APIs, and AIF, including experience with SAP PI/CPI.
· Exposure to employee and organizational master data and integration with IAM (Identity and Access Management) platforms.
· Experience in greenfield implementations, system carve-outs, or data migrations.
· Excellent analytical, documentation, and communication skills.
Key Responsibilities ·
Lead and manage master data objects such as Vendor Master, Part/Material Master, Employee Data, and Organization Structures in SAP S/4HANA.
· Perform detailed analysis of complex business process requirements and provide appropriate system solutions; identify, interpret, validate and document customer requirements · Configure and maintain Business Partner settings for suppliers and employees, ensuring seamless integration with procurement and identity systems.
· Design and implement approval workflows for Purchase Orders, Requisitions, Vendor onboarding, etc. · Manage interface development and integration using APIs, IDOCs, SAP AIF, and middleware like SAP PI/CPI to support data replication, carve-outs, and external tool integrations.
· Collaborate with cross-functional teams to support data migration, validation, cleansing, and cutover planning during rollouts or transformation projects.
· Provide consulting and subject matter expertise to internal teams and business stakeholders on Master Data design, optimization, and compliance.
· Coordinate with technical team on custom objects
· Ability to multitask and manage multiple deliverables and projects at the same time · Support and troubleshoot master data-related issues, identify root causes, and drive continuous improvement.
Responsibilities
Description: Skills and Qualifications
· 6+ years of experience in SAP MM, with a strong focus on Master Data Management.
· In-depth knowledge of SAP S/4HANA MM including configuration of Vendor Master, Material Master, and Business Partner. ·
Hands-on experience with Fiori apps, workflow, and output management. · Strong understanding of data integration via IDOCs, APIs, and AIF, including experience with SAP PI/CPI.
· Exposure to employee and organizational master data and integration with IAM (Identity and Access Management) platforms.
· Experience in greenfield implementations, system carve-outs, or data migrations.
· Excellent analytical, documentation, and communication skills.
Key Responsibilities ·
Lead and manage master data objects such as Vendor Master, Part/Material Master, Employee Data, and Organization Structures in SAP S/4HANA.
· Perform detailed analysis of complex business process requirements and provide appropriate system solutions; identify, interpret, validate and document customer requirements · Configure and maintain Business Partner settings for suppliers and employees, ensuring seamless integration with procurement and identity systems.
· Design and implement approval workflows for Purchase Orders, Requisitions, Vendor onboarding, etc. · Manage interface development and integration using APIs, IDOCs, SAP AIF, and middleware like SAP PI/CPI to support data replication, carve-outs, and external tool integrations.
· Collaborate with cross-functional teams to support data migration, validation, cleansing, and cutover planning during rollouts or transformation projects.
· Provide consulting and subject matter expertise to internal teams and business stakeholders on Master Data design, optimization, and compliance.
· Coordinate with technical team on custom objects
· Ability to multitask and manage multiple deliverables and projects at the same time · Support and troubleshoot master data-related issues, identify root causes, and drive continuous improvement.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Description
Desired SAP Skills & Experience:
Domain: SAP WM/EWM
• The candidate must be any graduate (BE/B.Tech Preferable) and should have experience in SAP WM/EWM along with the integration with other SAP modules SD/MM/PP
• Work closely with Global teams.
• Responsible for managing, Planning & Overseeing new developments in WM/EWM area.
• Effort Estimation, on time & Within Budget delivery.
• At least one implementation/roll-out Experience in SAP WM/EWM. Experience on migration from WM to EWM is preferrable.
• Should have experience in working on S/4 HANA
• Expert in SAP WM modules like Configuration of Org structure, Automatic bin creation structure, master data setup like, Storage type, SUT type, bins types, Put away and picking strategies, Outputs & Forms, Inventory Management, Physical Inventory, Two step picking
• Should be Expertise in EWM topics like Warehouse Task & Order Management, Resource Management, Transportation Units, Handling Unit management.
• Should be Expertise in Workflows, IDOC’s and Knowledge on Interfaces integration.
• Design, customize, configure, testing and coordinate with technical team on custom object.
• Ability to multitask and manage multiple deliverables and projects at the same time.
• Perform detailed analysis of complex business process requirements and provide appropriate system solutions; identify, interpret, validate, and document customer requirements.
• Work self-directed and independently; may act as subject matter expert (SME)
Desired Soft Skills:
• Must have excellent analytical, troubleshooting and problem solving skill.
• Strong drive to execute and deliver
• Excellent oral and written communication skills
• Ability to work independently or in conjunction with a team
• Ability to work issues through resolution
• Ability to understand business processes from a customer perspective
• Ability to work in a team environment, effectively interacting with others
• Must be results oriented, adaptability, flexibility and resourcefulness
Responsibilities
Description
Desired SAP Skills & Experience:
Domain: SAP WM/EWM
• The candidate must be any graduate (BE/B.Tech Preferable) and should have experience in SAP WM/EWM along with the integration with other SAP modules SD/MM/PP
• Work closely with Global teams.
• Responsible for managing, Planning & Overseeing new developments in WM/EWM area.
• Effort Estimation, on time & Within Budget delivery.
• At least one implementation/roll-out Experience in SAP WM/EWM. Experience on migration from WM to EWM is preferrable.
• Should have experience in working on S/4 HANA
• Expert in SAP WM modules like Configuration of Org structure, Automatic bin creation structure, master data setup like, Storage type, SUT type, bins types, Put away and picking strategies, Outputs & Forms, Inventory Management, Physical Inventory, Two step picking
• Should be Expertise in EWM topics like Warehouse Task & Order Management, Resource Management, Transportation Units, Handling Unit management.
• Should be Expertise in Workflows, IDOC’s and Knowledge on Interfaces integration.
• Design, customize, configure, testing and coordinate with technical team on custom object.
• Ability to multitask and manage multiple deliverables and projects at the same time.
• Perform detailed analysis of complex business process requirements and provide appropriate system solutions; identify, interpret, validate, and document customer requirements.
• Work self-directed and independently; may act as subject matter expert (SME)
Desired Soft Skills:
• Must have excellent analytical, troubleshooting and problem solving skill.
• Strong drive to execute and deliver
• Excellent oral and written communication skills
• Ability to work independently or in conjunction with a team
• Ability to work issues through resolution
• Ability to understand business processes from a customer perspective
• Ability to work in a team environment, effectively interacting with others
• Must be results oriented, adaptability, flexibility and resourcefulness
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Description:
Daimler Truck is initiating an EUDR (European Union Deforestation Regulation) compliance program and is looking for an experienced Celonis Expert to support implementation and enable data-driven compliance use cases.
The role will act as a key technical and functional bridge between internal teams and Celonis delivery partners.
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Key Responsibilities
Support Celonis implementation and onboarding
Work with vendor teams to build data models, dashboards, and process insights
Enable integration of data across multiple enterprise systems (SAP and non-SAP)
Prepare and structure data for Celonis ingestion
Translate business requirements into Celonis-based insights for EUDR compliance
Support identification of data required for Due Diligence Statement generation
Act as primary contact for Celonis-related topics from DTICI
Ensure knowledge transfer and internal capability build-up
[hr align="center" size="2" width="100%"]
Required Skills
Must-Have:
Hands-on experience with Celonis (Process Mining / EMS)
Strong experience in data integration and data modeling
Experience working with SAP and non-SAP enterprise systems
Ability to convert business requirements into technical/data solutions
[hr align="center" size="2" width="100%"]
Good-to-Have:
Experience in compliance or regulatory programs
Knowledge of supply chain / customs / import-export processes
Exposure to EUDR / sustainability initiatives
Responsibilities
Description:
Daimler Truck is initiating an EUDR (European Union Deforestation Regulation) compliance program and is looking for an experienced Celonis Expert to support implementation and enable data-driven compliance use cases.
The role will act as a key technical and functional bridge between internal teams and Celonis delivery partners.
[hr align="center" size="2" width="100%"]
Key Responsibilities
Support Celonis implementation and onboarding
Work with vendor teams to build data models, dashboards, and process insights
Enable integration of data across multiple enterprise systems (SAP and non-SAP)
Prepare and structure data for Celonis ingestion
Translate business requirements into Celonis-based insights for EUDR compliance
Support identification of data required for Due Diligence Statement generation
Act as primary contact for Celonis-related topics from DTICI
Ensure knowledge transfer and internal capability build-up
[hr align="center" size="2" width="100%"]
Required Skills
Must-Have:
Hands-on experience with Celonis (Process Mining / EMS)
Strong experience in data integration and data modeling
Experience working with SAP and non-SAP enterprise systems
Ability to convert business requirements into technical/data solutions
[hr align="center" size="2" width="100%"]
Good-to-Have:
Experience in compliance or regulatory programs
Knowledge of supply chain / customs / import-export processes
Exposure to EUDR / sustainability initiatives
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
