1. Cyber security
Mandatory Preferred Good to Have location Exp
Proficiency in secure coding practices (MISRA, CERT) and secure development principles in C/C++ Cybersecurity standards (e.g., ISO/SAE 21434, UNECE R155, RED-DA EN 18031). COB 5-8 years
Knowledge of cybersecurity mechanisms including secure boot, secure flashing, secure diagnostics, access control, secure compiler usage, and firewalls. Configuration of AUTOSAR Modules like SUM_SSC, CryIf, CSM and Trusted Execution Environment (TEE)
Understanding of HSM / TEE concepts, secure key storage, and hardware based cryptographic operations. Familiarity with security testing concepts such as SAST, DAST, fuzz testing, penetration testing, and CI/CD security integration.
Design & Development of Security Mechanisms in AUTOSAR/QNX/Android/Linux Environment Solid understanding of cryptographic concepts: AES, RSA, ECC, hashing (SHA/HMAC), digital signatures, PKI, and CIA principles
Responsibilities
1. Cyber security
Mandatory Preferred Good to Have location Exp
Proficiency in secure coding practices (MISRA, CERT) and secure development principles in C/C++ Cybersecurity standards (e.g., ISO/SAE 21434, UNECE R155, RED-DA EN 18031). COB 5-8 years
Knowledge of cybersecurity mechanisms including secure boot, secure flashing, secure diagnostics, access control, secure compiler usage, and firewalls. Configuration of AUTOSAR Modules like SUM_SSC, CryIf, CSM and Trusted Execution Environment (TEE)
Understanding of HSM / TEE concepts, secure key storage, and hardware based cryptographic operations. Familiarity with security testing concepts such as SAST, DAST, fuzz testing, penetration testing, and CI/CD security integration.
Design & Development of Security Mechanisms in AUTOSAR/QNX/Android/Linux Environment Solid understanding of cryptographic concepts: AES, RSA, ECC, hashing (SHA/HMAC), digital signatures, PKI, and CIA principles
Salary : Rs. 1,00,000.0 - Rs. 2,00,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Role Summary
The Power BI Developer is responsible for designing, developing, and maintaining enterprise analytics solutions that enable data-driven decision-making. The role focuses on transforming business requirements into scalable dashboards, data models, and reporting solutions while ensuring performance, governance, security, and data quality across the Power BI ecosystem.
________________________________________
Key Responsibilities
Dashboard & Reporting Development
• Design, develop, and maintain interactive Power BI dashboards and executive reports.
• Build meaningful KPIs, scorecards, trend analyses, and operational dashboards.
• Create intuitive visualizations aligned with business requirements and UX best practices.
• Optimize report usability and adoption through stakeholder feedback.
Data Modelling & Analytics
• Develop scalable semantic models using star and snowflake schemas.
• Create advanced DAX measures, calculated columns, and KPIs.
• Build reusable Power Query transformations and dataflows.
• Ensure high-performance models through optimization and tuning.
Data Integration & Automation
• Integrate data from SQL Server, SharePoint, Dataverse, Excel, APIs, and enterprise platforms.
• Develop and manage Power BI dataflows and datasets.
• Implement incremental refresh and large dataset optimization.
• Automate reporting and notifications through Power Automate integration.
Platform Administration & Governance
• Manage Power BI workspaces, datasets, gateways, and refresh schedules.
• Implement Role-Based Access Control (RBAC) and Row-Level Security (RLS).
• Support reporting governance, data quality controls, and documentation standards.
• Ensure compliance with enterprise security and data protection policies.
Stakeholder Engagement
• Work closely with business teams to gather reporting requirements.
• Translate business needs into technical solutions and analytics products.
• Provide user training and reporting enablement.
• Present insights and recommendations to business and leadership teams.
Operational Support
• Troubleshoot refresh failures, performance issues, and data discrepancies.
• Resolve gateway, connectivity, and data source integration issues.
• Maintain knowledge repositories, documentation, and support playbooks.
________________________________________
Required Qualifications
• Bachelor's degree in Computer Science, Information Technology, Engineering, Data Analytics, or related field.
• 3–6 years of hands-on Power BI development experience.
• Strong expertise in:
o Power BI Desktop
o Power BI Service
o DAX
o Power Query (M)
o Data Modelling
o SQL
• Experience with:
o SharePoint Online
o Dataverse
o Excel Online
o Microsoft SQL Server
• Knowledge of data warehousing concepts and dimensional modelling.
• Strong analytical, problem-solving, and communication skills.
________________________________________
Preferred Qualifications
• Microsoft Certified: Power BI Data Analyst Associate (PL-300).
• Experience with Microsoft Fabric.
• Exposure to Power Platform:
o Power Automate
o Power Apps
• Experience with Python or data science tools.
• Knowledge of Azure Data Factory, Synapse, or Databricks.
• Experience building executive-level dashboards and enterprise reporting solutions.
________________________________________
Key Technical Skills
Category Skills
BI & Analytics Power BI Desktop, Power BI Service
Data Modelling Star Schema, Snowflake Schema, Semantic Models
Languages DAX, SQL, M Query
Data Sources SharePoint, Excel, SQL Server, Dataverse, APIs
Administration Gateways, Workspaces, RLS, Dataset Management
Automation Power Automate
Advanced Analytics Python (Preferred)
Governance Security, Data Quality, Reporting Standards
Description
Job Description – Power BI Developer
Role Summary
The Power BI Developer is responsible for designing, developing, and maintaining enterprise analytics solutions that enable data-driven decision-making. The role focuses on transforming business requirements into scalable dashboards, data models, and reporting solutions while ensuring performance, governance, security, and data quality across the Power BI ecosystem.
________________________________________
Key Responsibilities
Dashboard & Reporting Development
• Design, develop, and maintain interactive Power BI dashboards and executive reports.
• Build meaningful KPIs, scorecards, trend analyses, and operational dashboards.
• Create intuitive visualizations aligned with business requirements and UX best practices.
• Optimize report usability and adoption through stakeholder feedback.
Data Modelling & Analytics
• Develop scalable semantic models using star and snowflake schemas.
• Create advanced DAX measures, calculated columns, and KPIs.
• Build reusable Power Query transformations and dataflows.
• Ensure high-performance models through optimization and tuning.
Data Integration & Automation
• Integrate data from SQL Server, SharePoint, Dataverse, Excel, APIs, and enterprise platforms.
• Develop and manage Power BI dataflows and datasets.
• Implement incremental refresh and large dataset optimization.
• Automate reporting and notifications through Power Automate integration.
Platform Administration & Governance
• Manage Power BI workspaces, datasets, gateways, and refresh schedules.
• Implement Role-Based Access Control (RBAC) and Row-Level Security (RLS).
• Support reporting governance, data quality controls, and documentation standards.
• Ensure compliance with enterprise security and data protection policies.
Stakeholder Engagement
• Work closely with business teams to gather reporting requirements.
• Translate business needs into technical solutions and analytics products.
• Provide user training and reporting enablement.
• Present insights and recommendations to business and leadership teams.
Operational Support
• Troubleshoot refresh failures, performance issues, and data discrepancies.
• Resolve gateway, connectivity, and data source integration issues.
• Maintain knowledge repositories, documentation, and support playbooks.
________________________________________
Required Qualifications
• Bachelor's degree in Computer Science, Information Technology, Engineering, Data Analytics, or related field.
• 3–6 years of hands-on Power BI development experience.
• Strong expertise in:
o Power BI Desktop
o Power BI Service
o DAX
o Power Query (M)
o Data Modelling
o SQL
• Experience with:
o SharePoint Online
o Dataverse
o Excel Online
o Microsoft SQL Server
• Knowledge of data warehousing concepts and dimensional modelling.
• Strong analytical, problem-solving, and communication skills.
________________________________________
Preferred Qualifications
• Microsoft Certified: Power BI Data Analyst Associate (PL-300).
• Experience with Microsoft Fabric.
• Exposure to Power Platform:
o Power Automate
o Power Apps
• Experience with Python or data science tools.
• Knowledge of Azure Data Factory, Synapse, or Databricks.
• Experience building executive-level dashboards and enterprise reporting solutions.
________________________________________
Key Technical Skills
Category Skills
BI & Analytics Power BI Desktop, Power BI Service
Data Modelling Star Schema, Snowflake Schema, Semantic Models
Languages DAX, SQL, M Query
Data Sources SharePoint, Excel, SQL Server, Dataverse, APIs
Administration Gateways, Workspaces, RLS, Dataset Management
Automation Power Automate
Advanced Analytics Python (Preferred)
Governance Security, Data Quality, Reporting Standards
Responsibilities
Role Summary
The Power BI Developer is responsible for designing, developing, and maintaining enterprise analytics solutions that enable data-driven decision-making. The role focuses on transforming business requirements into scalable dashboards, data models, and reporting solutions while ensuring performance, governance, security, and data quality across the Power BI ecosystem.
________________________________________
Key Responsibilities
Dashboard & Reporting Development
• Design, develop, and maintain interactive Power BI dashboards and executive reports.
• Build meaningful KPIs, scorecards, trend analyses, and operational dashboards.
• Create intuitive visualizations aligned with business requirements and UX best practices.
• Optimize report usability and adoption through stakeholder feedback.
Data Modelling & Analytics
• Develop scalable semantic models using star and snowflake schemas.
• Create advanced DAX measures, calculated columns, and KPIs.
• Build reusable Power Query transformations and dataflows.
• Ensure high-performance models through optimization and tuning.
Data Integration & Automation
• Integrate data from SQL Server, SharePoint, Dataverse, Excel, APIs, and enterprise platforms.
• Develop and manage Power BI dataflows and datasets.
• Implement incremental refresh and large dataset optimization.
• Automate reporting and notifications through Power Automate integration.
Platform Administration & Governance
• Manage Power BI workspaces, datasets, gateways, and refresh schedules.
• Implement Role-Based Access Control (RBAC) and Row-Level Security (RLS).
• Support reporting governance, data quality controls, and documentation standards.
• Ensure compliance with enterprise security and data protection policies.
Stakeholder Engagement
• Work closely with business teams to gather reporting requirements.
• Translate business needs into technical solutions and analytics products.
• Provide user training and reporting enablement.
• Present insights and recommendations to business and leadership teams.
Operational Support
• Troubleshoot refresh failures, performance issues, and data discrepancies.
• Resolve gateway, connectivity, and data source integration issues.
• Maintain knowledge repositories, documentation, and support playbooks.
________________________________________
Required Qualifications
• Bachelor's degree in Computer Science, Information Technology, Engineering, Data Analytics, or related field.
• 3–6 years of hands-on Power BI development experience.
• Strong expertise in:
o Power BI Desktop
o Power BI Service
o DAX
o Power Query (M)
o Data Modelling
o SQL
• Experience with:
o SharePoint Online
o Dataverse
o Excel Online
o Microsoft SQL Server
• Knowledge of data warehousing concepts and dimensional modelling.
• Strong analytical, problem-solving, and communication skills.
________________________________________
Preferred Qualifications
• Microsoft Certified: Power BI Data Analyst Associate (PL-300).
• Experience with Microsoft Fabric.
• Exposure to Power Platform:
o Power Automate
o Power Apps
• Experience with Python or data science tools.
• Knowledge of Azure Data Factory, Synapse, or Databricks.
• Experience building executive-level dashboards and enterprise reporting solutions.
________________________________________
Key Technical Skills
Category Skills
BI & Analytics Power BI Desktop, Power BI Service
Data Modelling Star Schema, Snowflake Schema, Semantic Models
Languages DAX, SQL, M Query
Data Sources SharePoint, Excel, SQL Server, Dataverse, APIs
Administration Gateways, Workspaces, RLS, Dataset Management
Automation Power Automate
Advanced Analytics Python (Preferred)
Governance Security, Data Quality, Reporting Standards
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
We are looking for a Java Developer with 3–6 years of experience in building backend services using Java (21+) and Spring Boot. The role involves designing and developing REST APIs, hosting applications in Azure Kubernetes Service (AKS), working with PostgreSQL databases, and leveraging modern AI-assisted development tools to improve productivity, code quality, and delivery efficiency.
Key Responsibilities
Design, develop, test, and maintain backend applications using Java and Spring Boot with Microservices architecture
Build and consume RESTful APIs and integrate with internal/external services
Develop and optimize PostgreSQL schema, queries, and database performance
Implement business logic with strong focus on clean code, SOLID principles, and maintainability
Write unit/integration tests and support CI/CD quality gates
Leverage AI-assisted coding tools (e.g., GitHub Copilot, Claude Code, IntelliCode) for code generation, debugging, documentation, and productivity improvements
Use AI tools for automated test generation, code review support, and performance optimization insights
Participate in code reviews, debugging, and production issue resolution
Collaborate with product, frontend, QA, and DevOps teams in Agile delivery
Required Skills & Experience
3–6 years of hands-on development experience in backend systems
Strong proficiency in Core Java, OOP, Collections, Exception handling, & Streams
Strong experience with Spring Boot (REST, validation, configuration, profiles)
Experience with PostgreSQL (joins, indexing, query optimization, schema design)
Familiarity with ORM frameworks such as Spring Data JPA / Hibernate
Experience with Maven/Gradle, Git, and standard development workflows
Working exposure to AI developer tools (e.g., GitHub Copilot, Azure OpenAI, IntelliCode, Sonar AI capabilities) to enhance development efficiency
Excellent troubleshooting and debugging skills and ability to work on performance issues
Good to Have
Working knowledge of Axway-CFT, IBM MQ
Observability: Logging, monitoring, and tracing (ELK, Prometheus/Grafana, OpenTelemetry)
Exposure to AI-enabled DevOps practices (e.g., AI-based code analysis, automated quality checks, intelligent monitoring insights)
Qualifications
Bachelor’s degree in computer science/IT or equivalent practical experience
Soft Skills
Strong communication and collaboration skills
Ownership mindset and ability to work independently
Comfort working in Agile/Scrum teams
Openness to adopting AI-driven development practices and continuous learning mindset
Responsibilities
We are looking for a Java Developer with 3–6 years of experience in building backend services using Java (21+) and Spring Boot. The role involves designing and developing REST APIs, hosting applications in Azure Kubernetes Service (AKS), working with PostgreSQL databases, and leveraging modern AI-assisted development tools to improve productivity, code quality, and delivery efficiency.
Key Responsibilities
Design, develop, test, and maintain backend applications using Java and Spring Boot with Microservices architecture
Build and consume RESTful APIs and integrate with internal/external services
Develop and optimize PostgreSQL schema, queries, and database performance
Implement business logic with strong focus on clean code, SOLID principles, and maintainability
Write unit/integration tests and support CI/CD quality gates
Leverage AI-assisted coding tools (e.g., GitHub Copilot, Claude Code, IntelliCode) for code generation, debugging, documentation, and productivity improvements
Use AI tools for automated test generation, code review support, and performance optimization insights
Participate in code reviews, debugging, and production issue resolution
Collaborate with product, frontend, QA, and DevOps teams in Agile delivery
Required Skills & Experience
3–6 years of hands-on development experience in backend systems
Strong proficiency in Core Java, OOP, Collections, Exception handling, & Streams
Strong experience with Spring Boot (REST, validation, configuration, profiles)
Experience with PostgreSQL (joins, indexing, query optimization, schema design)
Familiarity with ORM frameworks such as Spring Data JPA / Hibernate
Experience with Maven/Gradle, Git, and standard development workflows
Working exposure to AI developer tools (e.g., GitHub Copilot, Azure OpenAI, IntelliCode, Sonar AI capabilities) to enhance development efficiency
Excellent troubleshooting and debugging skills and ability to work on performance issues
Good to Have
Working knowledge of Axway-CFT, IBM MQ
Observability: Logging, monitoring, and tracing (ELK, Prometheus/Grafana, OpenTelemetry)
Exposure to AI-enabled DevOps practices (e.g., AI-based code analysis, automated quality checks, intelligent monitoring insights)
Qualifications
Bachelor’s degree in computer science/IT or equivalent practical experience
Soft Skills
Strong communication and collaboration skills
Ownership mindset and ability to work independently
Comfort working in Agile/Scrum teams
Openness to adopting AI-driven development practices and continuous learning mindset
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
1. Ethernet
Mandatory Preferred Good to Have location Exp
C++ C • Validating the AVB software stack against AVB guidelines COB & BAN 3 to 9yrs
QNX/Linux/Autosar SAFe Agile, ASPICE
• Strong understanding of Layer2 Ethernet switch configuration and its working principle
• Experience in Network tools/utilities usage like tcpdump, wireshark
Responsibilities
1. Ethernet
Mandatory Preferred Good to Have location Exp
C++ C • Validating the AVB software stack against AVB guidelines COB & BAN 3 to 9yrs
QNX/Linux/Autosar SAFe Agile, ASPICE
• Strong understanding of Layer2 Ethernet switch configuration and its working principle
• Experience in Network tools/utilities usage like tcpdump, wireshark
Salary : Rs. 1,00,000.0 - Rs. 1,50,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Please find the below JD pertaining to 26000B2D
MSA level - Specialist Software Engineer – Databricks (Mosaic AI) premium
Experience: 4–7 Years
Responsibilities:
• Understand business and technical requirements and design scalable, reliable data pipelines using Databricks (PySpark, SQL, Delta Lake).
• Take accountability for delivering high quality data and AI features within agreed timelines.
• Build and maintain data pipelines using Databricks (Spark, Delta tables) for analytics and GenAI use cases.
• Design, implement, and manage Delta Live Tables (DLT) pipelines for governed and reliable data processing.
• Prepare and manage datasets for LLM and Mosaic AI workloads.
• Integrate LLMs (OpenAI, Azure OpenAI) into data workflows and applications.
• Build simple AI agents to automate tasks such as data analysis, Q&A, or workflow execution.
• Track and manage experiments using MLflow for ML and LLM workflows.
• Implement scalable pipelines aligned with Unity Catalog governance, including access control, lineage, and metadata.
• Optimize Spark jobs and Databricks workflows for performance, reliability, and cost efficiency.
• Apply data quality checks, monitoring, and observability practices to ensure pipeline health.
• Participate in production support, incident analysis, and stabilization of data pipelines.
• Contribute to technical design discussions on Databricks architecture and AI data flows.
• Manage deployment, configuration, and release activities for Databricks jobs and workflows.
• Follow Agile practices and prioritize work based on sprint goals and delivery commitments.
• Perform code reviews and guide junior engineers on Databricks and Spark best practices.
• Collaborate closely with data scientists, product owners, architects, and stakeholders.
• Be flexible to support global teams and Paris business hours when required.
• Own delivery of data and AI features end to end—from ingestion to downstream AI or analytics consumption.
Responsibilities
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Role Category :Programming & Design
Role :Lead Software Engineer - Databricks (Mosaic AI)
