Description
Description
• Experience of 8-10 years in working in SAP FICO
• This is a lead role requiring the candidate to handle the project independently, with coordination across cross-functional teams, and should possess strong communication skills to effectively drive discussions with business and technical stakeholders.
• Must have worked in 1 S4 HANA E2E implementation
• Must have worked in RICEWF objects and related activities like creation of
FSDs, testing and review
• Must be proficient in the below modules of FI: Accounts payable, GL
accounting, Bank accounting
• Making the technical team understand the FSD & Mapping documents and
what Business transformation logics to be implemented as part of extraction,
transformation, relevancy/filter criteria.
• Accounts Payable: Bank configuration set up with BCM, DMEE configuration
and related configuration, Direct and indirect invoices and payments, I-doc
configuration, and error handling
• Bank accounting: Bank account configuration, EBS set up, Search string
configuration, Upload, and trouble shoot EBS issue, Bank chain
• GL accounting: FX revaluation, FX configurations, General GL postings, Sp.
GL transactions
• Taxes: Tax set up, Withholding tax configurations,
• Should have general knowledge in other FI and CO areas like: Asset
Accounting, Accounts receivable(Including AR Correspondence, Customer
Statements), Controlling basics, product costing
• FI-SD Integration
• Accounts Receivable
• Account Statements, Dunning, Invoice outputs
• Experience with custom developments and interfaces.
• Lockbox integration
• SAP CAR – S4 Finance knowledge is preferred but not mandatory
• DMEE & EBS Skill
•Experience in implementation of interfaces for Accounting Documents
Additional skill:
• Ability to lead and drive automation initiatives within FICO areas
• Experience working on AI use cases or automation solutions (preferred)
• Exposure to or involvement in automation projects such as:
o AP invoice automation (high priority area)
o Future scope areas: AR, claims, payment
o Note: Strong FICO expertise is mandatory. Automation/AI experience is preferred but not mandatory.
• Experience of 8-10 years in working in SAP FICO
• This is a lead role requiring the candidate to handle the project independently, with coordination across cross-functional teams, and should possess strong communication skills to effectively drive discussions with business and technical stakeholders.
• Must have worked in 1 S4 HANA E2E implementation
• Must have worked in RICEWF objects and related activities like creation of
FSDs, testing and review
• Must be proficient in the below modules of FI: Accounts payable, GL
accounting, Bank accounting
• Making the technical team understand the FSD & Mapping documents and
what Business transformation logics to be implemented as part of extraction,
transformation, relevancy/filter criteria.
• Accounts Payable: Bank configuration set up with BCM, DMEE configuration
and related configuration, Direct and indirect invoices and payments, I-doc
configuration, and error handling
• Bank accounting: Bank account configuration, EBS set up, Search string
configuration, Upload, and trouble shoot EBS issue, Bank chain
• GL accounting: FX revaluation, FX configurations, General GL postings, Sp.
GL transactions
• Taxes: Tax set up, Withholding tax configurations,
• Should have general knowledge in other FI and CO areas like: Asset
Accounting, Accounts receivable(Including AR Correspondence, Customer
Statements), Controlling basics, product costing
• FI-SD Integration
• Accounts Receivable
• Account Statements, Dunning, Invoice outputs
• Experience with custom developments and interfaces.
• Lockbox integration
• SAP CAR – S4 Finance knowledge is preferred but not mandatory
• DMEE & EBS Skill
•Experience in implementation of interfaces for Accounting Documents
Additional skill:
• Ability to lead and drive automation initiatives within FICO areas
• Experience working on AI use cases or automation solutions (preferred)
• Exposure to or involvement in automation projects such as:
o AP invoice automation (high priority area)
o Future scope areas: AR, claims, payment
o Note: Strong FICO expertise is mandatory. Automation/AI experience is preferred but not mandatory.
Responsibilities
Description
Description
• Experience of 8-10 years in working in SAP FICO
• This is a lead role requiring the candidate to handle the project independently, with coordination across cross-functional teams, and should possess strong communication skills to effectively drive discussions with business and technical stakeholders.
• Must have worked in 1 S4 HANA E2E implementation
• Must have worked in RICEWF objects and related activities like creation of
FSDs, testing and review
• Must be proficient in the below modules of FI: Accounts payable, GL
accounting, Bank accounting
• Making the technical team understand the FSD & Mapping documents and
what Business transformation logics to be implemented as part of extraction,
transformation, relevancy/filter criteria.
• Accounts Payable: Bank configuration set up with BCM, DMEE configuration
and related configuration, Direct and indirect invoices and payments, I-doc
configuration, and error handling
• Bank accounting: Bank account configuration, EBS set up, Search string
configuration, Upload, and trouble shoot EBS issue, Bank chain
• GL accounting: FX revaluation, FX configurations, General GL postings, Sp.
GL transactions
• Taxes: Tax set up, Withholding tax configurations,
• Should have general knowledge in other FI and CO areas like: Asset
Accounting, Accounts receivable(Including AR Correspondence, Customer
Statements), Controlling basics, product costing
• FI-SD Integration
• Accounts Receivable
• Account Statements, Dunning, Invoice outputs
• Experience with custom developments and interfaces.
• Lockbox integration
• SAP CAR – S4 Finance knowledge is preferred but not mandatory
• DMEE & EBS Skill
•Experience in implementation of interfaces for Accounting Documents
Additional skill:
• Ability to lead and drive automation initiatives within FICO areas
• Experience working on AI use cases or automation solutions (preferred)
• Exposure to or involvement in automation projects such as:
o AP invoice automation (high priority area)
o Future scope areas: AR, claims, payment
o Note: Strong FICO expertise is mandatory. Automation/AI experience is preferred but not mandatory.
• Experience of 8-10 years in working in SAP FICO
• This is a lead role requiring the candidate to handle the project independently, with coordination across cross-functional teams, and should possess strong communication skills to effectively drive discussions with business and technical stakeholders.
• Must have worked in 1 S4 HANA E2E implementation
• Must have worked in RICEWF objects and related activities like creation of
FSDs, testing and review
• Must be proficient in the below modules of FI: Accounts payable, GL
accounting, Bank accounting
• Making the technical team understand the FSD & Mapping documents and
what Business transformation logics to be implemented as part of extraction,
transformation, relevancy/filter criteria.
• Accounts Payable: Bank configuration set up with BCM, DMEE configuration
and related configuration, Direct and indirect invoices and payments, I-doc
configuration, and error handling
• Bank accounting: Bank account configuration, EBS set up, Search string
configuration, Upload, and trouble shoot EBS issue, Bank chain
• GL accounting: FX revaluation, FX configurations, General GL postings, Sp.
GL transactions
• Taxes: Tax set up, Withholding tax configurations,
• Should have general knowledge in other FI and CO areas like: Asset
Accounting, Accounts receivable(Including AR Correspondence, Customer
Statements), Controlling basics, product costing
• FI-SD Integration
• Accounts Receivable
• Account Statements, Dunning, Invoice outputs
• Experience with custom developments and interfaces.
• Lockbox integration
• SAP CAR – S4 Finance knowledge is preferred but not mandatory
• DMEE & EBS Skill
•Experience in implementation of interfaces for Accounting Documents
Additional skill:
• Ability to lead and drive automation initiatives within FICO areas
• Experience working on AI use cases or automation solutions (preferred)
• Exposure to or involvement in automation projects such as:
o AP invoice automation (high priority area)
o Future scope areas: AR, claims, payment
o Note: Strong FICO expertise is mandatory. Automation/AI experience is preferred but not mandatory.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Experience with SAP ABAP, Workflow, Adobe Forms, Smart forms and Web Dynpro is highly required
Experience in developing interfaces with SAP PI system
Experience in BRF, Web Services, and IDOC is a big plus.
Self-starter with leadership qualities who can work independently and in teams on tasks and projects with limited supervision
Responsibilities
Experience with SAP ABAP, Workflow, Adobe Forms, Smart forms and Web Dynpro is highly required
Experience in developing interfaces with SAP PI system
Experience in BRF, Web Services, and IDOC is a big plus.
Self-starter with leadership qualities who can work independently and in teams on tasks and projects with limited supervision
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Description
Job Summary
We are looking for an experienced and highly skilled Senior Java React.js Developer with 8+ years of experience in designing, developing, and maintaining scalable web applications. The ideal candidate should have strong backend expertise in Java (Spring Boot) along with modern frontend development experience using React.js.
[hr align="center" size="2" width="100%"]
Key Responsibilities
• Design, develop, and maintain robust, scalable, and high-performance applications.
• Build backend services using Java, Spring Boot, and Microservices architecture.
• Develop responsive and dynamic user interfaces using React.js, Redux, and modern JavaScript (ES6+).
• Collaborate with cross-functional teams including product managers, UX designers, and QA engineers.
• Write clean, efficient, and maintainable code following best practices.
• Perform code reviews and mentor junior developers.
• Optimize application performance, scalability, and security.
• Troubleshoot and resolve production issues.
• Participate in Agile/Scrum development processes.
[hr align="center" size="2" width="100%"]
Required Skills & Qualifications
• 8+ years of overall software development experience.
• Strong proficiency in Java, Spring Boot, REST APIs.
• Hands-on experience with Microservices architecture.
• Solid experience in React.js, JavaScript, HTML5, CSS3.
• Experience with state management libraries (Redux, Context API).
• Good understanding of RESTful API integration and asynchronous programming.
• Experience with SQL/NoSQL databases (MySQL, PostgreSQL, MongoDB).
• Familiarity with version control tools (Git).
• Experience working in Agile environments.
[hr align="center" size="2" width="100%"]
Preferred Skills
• Experience with Docker, Kubernetes, and CI/CD pipelines.
• Knowledge of Cloud platforms (Azure/AWS/GCP).
• Familiarity with GraphQL.
• Experience with unit testing frameworks (JUnit, Jest, Mocha).
• Understanding of security best practices (OAuth, JWT).
[hr align="center" size="2" width="100%"]
Soft Skills
• Strong problem-solving and analytical abilities.
• Excellent communication and teamwork skills.
• Ability to work independently and handle multiple priorities.
• Leadership and mentoring capabilities.
[hr align="center" size="2" width="100%"]
Education
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
[hr align="center" size="2" width="100%"]
Nice to Have
• Experience in enterprise-scale applications.
• Exposure to performance tuning and system design.
• Certification in Java or Cloud technologies.
Responsibilities
Description
Job Summary
We are looking for an experienced and highly skilled Senior Java React.js Developer with 8+ years of experience in designing, developing, and maintaining scalable web applications. The ideal candidate should have strong backend expertise in Java (Spring Boot) along with modern frontend development experience using React.js.
[hr align="center" size="2" width="100%"]
Key Responsibilities
• Design, develop, and maintain robust, scalable, and high-performance applications.
• Build backend services using Java, Spring Boot, and Microservices architecture.
• Develop responsive and dynamic user interfaces using React.js, Redux, and modern JavaScript (ES6+).
• Collaborate with cross-functional teams including product managers, UX designers, and QA engineers.
• Write clean, efficient, and maintainable code following best practices.
• Perform code reviews and mentor junior developers.
• Optimize application performance, scalability, and security.
• Troubleshoot and resolve production issues.
• Participate in Agile/Scrum development processes.
[hr align="center" size="2" width="100%"]
Required Skills & Qualifications
• 8+ years of overall software development experience.
• Strong proficiency in Java, Spring Boot, REST APIs.
• Hands-on experience with Microservices architecture.
• Solid experience in React.js, JavaScript, HTML5, CSS3.
• Experience with state management libraries (Redux, Context API).
• Good understanding of RESTful API integration and asynchronous programming.
• Experience with SQL/NoSQL databases (MySQL, PostgreSQL, MongoDB).
• Familiarity with version control tools (Git).
• Experience working in Agile environments.
[hr align="center" size="2" width="100%"]
Preferred Skills
• Experience with Docker, Kubernetes, and CI/CD pipelines.
• Knowledge of Cloud platforms (Azure/AWS/GCP).
• Familiarity with GraphQL.
• Experience with unit testing frameworks (JUnit, Jest, Mocha).
• Understanding of security best practices (OAuth, JWT).
[hr align="center" size="2" width="100%"]
Soft Skills
• Strong problem-solving and analytical abilities.
• Excellent communication and teamwork skills.
• Ability to work independently and handle multiple priorities.
• Leadership and mentoring capabilities.
[hr align="center" size="2" width="100%"]
Education
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
[hr align="center" size="2" width="100%"]
Nice to Have
• Experience in enterprise-scale applications.
• Exposure to performance tuning and system design.
• Certification in Java or Cloud technologies.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
We are looking for a skilled Databricks Platform Engineer to design, build, and manage our cloud data and AI platform on Azure Databricks. You will be the go-to person for everything Databricks — from ingesting raw data into Delta Lake to deploying production RAG (Retrieval-Augmented Generation) systems that power our AI applications.
You will work closely with data engineers, ML engineers, and product teams to build a scalable, secure, and governed data platform that accelerates AI-driven product development.
What you will do
Platform management
• Provision, configure, and manage Azure Databricks workspaces, clusters, and compute policies
• Implement and maintain Unity Catalog for data governance, lineage, and access control across the platform
• Optimize cluster performance, autoscaling, and cost — balancing speed and spend
• Monitor platform health, set up alerting, and troubleshoot job failures and performance bottlenecks
Data engineering and Delta Lake
• Design and build Bronze → Silver → Gold medallion architecture pipelines using Delta Lake
• Ingest structured and unstructured data (CSV, JSON, PDF, APIs) into ADLS Gen2 and Delta tables
• Implement MERGE, schema evolution, Change Data Feed, and partitioning strategies for production tables
• Manage Delta table versions, vacuum, optimize, and Z-order for query performance
ADLS Gen2 and storage
• Configure ADLS Gen2 storage accounts, containers, and hierarchical namespaces
• Set up Service Principal authentication, Key Vault integration, and IAM role assignments
• Design external locations and storage credentials in Unity Catalog for secure data access
CI/CD and DevOps
• Build and maintain CI/CD pipelines for Databricks notebooks, jobs, and workflows using Azure DevOps or GitHub Actions
• Manage Databricks asset bundles (DABs) for version-controlled deployment of jobs, pipelines, and configurations
• Implement environment promotion (dev → staging → prod) with automated testing and rollback strategies
• Use Databricks Repos and Git integration for collaborative notebook development
App deployment on Databricks
• Deploy and manage Databricks Apps, containerized workloads, and model serving endpoints
• Configure Databricks workflows, multi-task jobs, and DLT (Delta Live Tables) pipelines
• Integrate Databricks with external services — Azure OpenAI, Azure AI Search, Event Hubs, and REST APIs
RAG system development
• Build end-to-end RAG pipelines — PDF and document ingestion, chunking, embedding generation, and vector indexing
• Configure and manage Databricks Vector Search endpoints and Delta Sync indexes
• Optimize chunk size, overlap, and embedding strategies for retrieval quality
• Integrate RAG pipelines with LLM inference (Azure OpenAI, llama, or open-source models via Model Serving)
Skills and requirements
Skill area What we expect Level
Azure Databricks Workspace admin, cluster mgmt, Unity Catalog, job orchestration Expert
Delta Lake Medallion architecture, MERGE, CDF, Z-order, schema evolution Expert
ADLS Gen2 Storage accounts, Service Principals, Key Vault, IAM, abfss:// Expert
Unity Catalog Metastore, external locations, storage credentials, RBAC Proficient
CI/CD Azure DevOps / GitHub Actions, Databricks Asset Bundles, DABs Proficient
RAG systems Chunking, embeddings, Vector Search, LLM integration, retrieval eval Proficient
Python / PySpark Data transformation, UDFs, pandas UDFs, Spark optimization Expert
SQL Complex queries, Delta SQL, Unity Catalog SQL, performance tuning Expert
Azure ecosystem Entra ID, Key Vault, AKS, Azure Monitor, Event Hubs Proficient
MLflow Experiment tracking, model registry, model serving Preferred
Responsibilities
We are looking for a skilled Databricks Platform Engineer to design, build, and manage our cloud data and AI platform on Azure Databricks. You will be the go-to person for everything Databricks — from ingesting raw data into Delta Lake to deploying production RAG (Retrieval-Augmented Generation) systems that power our AI applications.
You will work closely with data engineers, ML engineers, and product teams to build a scalable, secure, and governed data platform that accelerates AI-driven product development.
What you will do
Platform management
• Provision, configure, and manage Azure Databricks workspaces, clusters, and compute policies
• Implement and maintain Unity Catalog for data governance, lineage, and access control across the platform
• Optimize cluster performance, autoscaling, and cost — balancing speed and spend
• Monitor platform health, set up alerting, and troubleshoot job failures and performance bottlenecks
Data engineering and Delta Lake
• Design and build Bronze → Silver → Gold medallion architecture pipelines using Delta Lake
• Ingest structured and unstructured data (CSV, JSON, PDF, APIs) into ADLS Gen2 and Delta tables
• Implement MERGE, schema evolution, Change Data Feed, and partitioning strategies for production tables
• Manage Delta table versions, vacuum, optimize, and Z-order for query performance
ADLS Gen2 and storage
• Configure ADLS Gen2 storage accounts, containers, and hierarchical namespaces
• Set up Service Principal authentication, Key Vault integration, and IAM role assignments
• Design external locations and storage credentials in Unity Catalog for secure data access
CI/CD and DevOps
• Build and maintain CI/CD pipelines for Databricks notebooks, jobs, and workflows using Azure DevOps or GitHub Actions
• Manage Databricks asset bundles (DABs) for version-controlled deployment of jobs, pipelines, and configurations
• Implement environment promotion (dev → staging → prod) with automated testing and rollback strategies
• Use Databricks Repos and Git integration for collaborative notebook development
App deployment on Databricks
• Deploy and manage Databricks Apps, containerized workloads, and model serving endpoints
• Configure Databricks workflows, multi-task jobs, and DLT (Delta Live Tables) pipelines
• Integrate Databricks with external services — Azure OpenAI, Azure AI Search, Event Hubs, and REST APIs
RAG system development
• Build end-to-end RAG pipelines — PDF and document ingestion, chunking, embedding generation, and vector indexing
• Configure and manage Databricks Vector Search endpoints and Delta Sync indexes
• Optimize chunk size, overlap, and embedding strategies for retrieval quality
• Integrate RAG pipelines with LLM inference (Azure OpenAI, llama, or open-source models via Model Serving)
Skills and requirements
Skill area What we expect Level
Azure Databricks Workspace admin, cluster mgmt, Unity Catalog, job orchestration Expert
Delta Lake Medallion architecture, MERGE, CDF, Z-order, schema evolution Expert
ADLS Gen2 Storage accounts, Service Principals, Key Vault, IAM, abfss:// Expert
Unity Catalog Metastore, external locations, storage credentials, RBAC Proficient
CI/CD Azure DevOps / GitHub Actions, Databricks Asset Bundles, DABs Proficient
RAG systems Chunking, embeddings, Vector Search, LLM integration, retrieval eval Proficient
Python / PySpark Data transformation, UDFs, pandas UDFs, Spark optimization Expert
SQL Complex queries, Delta SQL, Unity Catalog SQL, performance tuning Expert
Azure ecosystem Entra ID, Key Vault, AKS, Azure Monitor, Event Hubs Proficient
MLflow Experiment tracking, model registry, model serving Preferred
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
We are looking for a skilled Databricks Platform Engineer to design, build, and manage our cloud data and AI platform on Azure Databricks. You will be the go-to person for everything Databricks — from ingesting raw data into Delta Lake to deploying production RAG (Retrieval-Augmented Generation) systems that power our AI applications.
You will work closely with data engineers, ML engineers, and product teams to build a scalable, secure, and governed data platform that accelerates AI-driven product development.
What you will do
Platform management
• Provision, configure, and manage Azure Databricks workspaces, clusters, and compute policies
• Implement and maintain Unity Catalog for data governance, lineage, and access control across the platform
• Optimize cluster performance, autoscaling, and cost — balancing speed and spend
• Monitor platform health, set up alerting, and troubleshoot job failures and performance bottlenecks
Data engineering and Delta Lake
• Design and build Bronze → Silver → Gold medallion architecture pipelines using Delta Lake
• Ingest structured and unstructured data (CSV, JSON, PDF, APIs) into ADLS Gen2 and Delta tables
• Implement MERGE, schema evolution, Change Data Feed, and partitioning strategies for production tables
• Manage Delta table versions, vacuum, optimize, and Z-order for query performance
ADLS Gen2 and storage
• Configure ADLS Gen2 storage accounts, containers, and hierarchical namespaces
• Set up Service Principal authentication, Key Vault integration, and IAM role assignments
• Design external locations and storage credentials in Unity Catalog for secure data access
CI/CD and DevOps
• Build and maintain CI/CD pipelines for Databricks notebooks, jobs, and workflows using Azure DevOps or GitHub Actions
• Manage Databricks asset bundles (DABs) for version-controlled deployment of jobs, pipelines, and configurations
• Implement environment promotion (dev → staging → prod) with automated testing and rollback strategies
• Use Databricks Repos and Git integration for collaborative notebook development
App deployment on Databricks
• Deploy and manage Databricks Apps, containerized workloads, and model serving endpoints
• Configure Databricks workflows, multi-task jobs, and DLT (Delta Live Tables) pipelines
• Integrate Databricks with external services — Azure OpenAI, Azure AI Search, Event Hubs, and REST APIs
RAG system development
• Build end-to-end RAG pipelines — PDF and document ingestion, chunking, embedding generation, and vector indexing
• Configure and manage Databricks Vector Search endpoints and Delta Sync indexes
• Optimize chunk size, overlap, and embedding strategies for retrieval quality
• Integrate RAG pipelines with LLM inference (Azure OpenAI, llama, or open-source models via Model Serving)
Skills and requirements
Skill area What we expect Level
Azure Databricks Workspace admin, cluster mgmt, Unity Catalog, job orchestration Expert
Delta Lake Medallion architecture, MERGE, CDF, Z-order, schema evolution Expert
ADLS Gen2 Storage accounts, Service Principals, Key Vault, IAM, abfss:// Expert
Unity Catalog Metastore, external locations, storage credentials, RBAC Proficient
CI/CD Azure DevOps / GitHub Actions, Databricks Asset Bundles, DABs Proficient
RAG systems Chunking, embeddings, Vector Search, LLM integration, retrieval eval Proficient
Python / PySpark Data transformation, UDFs, pandas UDFs, Spark optimization Expert
SQL Complex queries, Delta SQL, Unity Catalog SQL, performance tuning Expert
Azure ecosystem Entra ID, Key Vault, AKS, Azure Monitor, Event Hubs Proficient
MLflow Experiment tracking, model registry, model serving Preferred
Responsibilities
We are looking for a skilled Databricks Platform Engineer to design, build, and manage our cloud data and AI platform on Azure Databricks. You will be the go-to person for everything Databricks — from ingesting raw data into Delta Lake to deploying production RAG (Retrieval-Augmented Generation) systems that power our AI applications.
You will work closely with data engineers, ML engineers, and product teams to build a scalable, secure, and governed data platform that accelerates AI-driven product development.
What you will do
Platform management
• Provision, configure, and manage Azure Databricks workspaces, clusters, and compute policies
• Implement and maintain Unity Catalog for data governance, lineage, and access control across the platform
• Optimize cluster performance, autoscaling, and cost — balancing speed and spend
• Monitor platform health, set up alerting, and troubleshoot job failures and performance bottlenecks
Data engineering and Delta Lake
• Design and build Bronze → Silver → Gold medallion architecture pipelines using Delta Lake
• Ingest structured and unstructured data (CSV, JSON, PDF, APIs) into ADLS Gen2 and Delta tables
• Implement MERGE, schema evolution, Change Data Feed, and partitioning strategies for production tables
• Manage Delta table versions, vacuum, optimize, and Z-order for query performance
ADLS Gen2 and storage
• Configure ADLS Gen2 storage accounts, containers, and hierarchical namespaces
• Set up Service Principal authentication, Key Vault integration, and IAM role assignments
• Design external locations and storage credentials in Unity Catalog for secure data access
CI/CD and DevOps
• Build and maintain CI/CD pipelines for Databricks notebooks, jobs, and workflows using Azure DevOps or GitHub Actions
• Manage Databricks asset bundles (DABs) for version-controlled deployment of jobs, pipelines, and configurations
• Implement environment promotion (dev → staging → prod) with automated testing and rollback strategies
• Use Databricks Repos and Git integration for collaborative notebook development
App deployment on Databricks
• Deploy and manage Databricks Apps, containerized workloads, and model serving endpoints
• Configure Databricks workflows, multi-task jobs, and DLT (Delta Live Tables) pipelines
• Integrate Databricks with external services — Azure OpenAI, Azure AI Search, Event Hubs, and REST APIs
RAG system development
• Build end-to-end RAG pipelines — PDF and document ingestion, chunking, embedding generation, and vector indexing
• Configure and manage Databricks Vector Search endpoints and Delta Sync indexes
• Optimize chunk size, overlap, and embedding strategies for retrieval quality
• Integrate RAG pipelines with LLM inference (Azure OpenAI, llama, or open-source models via Model Serving)
Skills and requirements
Skill area What we expect Level
Azure Databricks Workspace admin, cluster mgmt, Unity Catalog, job orchestration Expert
Delta Lake Medallion architecture, MERGE, CDF, Z-order, schema evolution Expert
ADLS Gen2 Storage accounts, Service Principals, Key Vault, IAM, abfss:// Expert
Unity Catalog Metastore, external locations, storage credentials, RBAC Proficient
CI/CD Azure DevOps / GitHub Actions, Databricks Asset Bundles, DABs Proficient
RAG systems Chunking, embeddings, Vector Search, LLM integration, retrieval eval Proficient
Python / PySpark Data transformation, UDFs, pandas UDFs, Spark optimization Expert
SQL Complex queries, Delta SQL, Unity Catalog SQL, performance tuning Expert
Azure ecosystem Entra ID, Key Vault, AKS, Azure Monitor, Event Hubs Proficient
MLflow Experiment tracking, model registry, model serving Preferred
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
As an Application Developer, you will engage in the design, construction, and configuration of applications tailored to fulfill specific business processes and application requirements. Your typical day will involve collaborating with team members to understand project needs, developing application features, and ensuring that the solutions align with business objectives. You will also participate in testing and debugging processes to enhance application performance and user experience, while continuously seeking opportunities for improvement and innovation in application development. Roles & Responsibilities: - Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the documentation of application specifications and design processes.- Engage in code reviews to ensure quality and adherence to best practices. Professional & Technical Skills: - Must To Have Skills: Proficiency in Spring Boot.- Strong understanding of RESTful web services and microservices architecture.- Experience with database management systems such as MySQL or PostgreSQL.- Familiarity with version control systems, particularly Git.- Knowledge of application deployment and cloud services. Additional Information: - The candidate should have minimum 2 years of experience in Spring Boot.- This position is based at our Pune office.- A 15 years full time education is required.
Responsibilities
As an Application Developer, you will engage in the design, construction, and configuration of applications tailored to fulfill specific business processes and application requirements. Your typical day will involve collaborating with team members to understand project needs, developing application features, and ensuring that the solutions align with business objectives. You will also participate in testing and debugging processes to enhance application performance and user experience, while continuously seeking opportunities for improvement and innovation in application development. Roles & Responsibilities: - Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the documentation of application specifications and design processes.- Engage in code reviews to ensure quality and adherence to best practices. Professional & Technical Skills: - Must To Have Skills: Proficiency in Spring Boot.- Strong understanding of RESTful web services and microservices architecture.- Experience with database management systems such as MySQL or PostgreSQL.- Familiarity with version control systems, particularly Git.- Knowledge of application deployment and cloud services. Additional Information: - The candidate should have minimum 2 years of experience in Spring Boot.- This position is based at our Pune office.- A 15 years full time education is required.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Please share profiles for CISCO ISE, we are planning to do drive on tomorrow.
Hope , you are already working for this demand.
While you share profiles , please mentioned time slot as well.
Skills : Cisco ISE
Location : Any
NP : Immediate
Level : SA and M
Responsibilities
Please share profiles for CISCO ISE, we are planning to do drive on tomorrow.
Hope , you are already working for this demand.
While you share profiles , please mentioned time slot as well.
Skills : Cisco ISE
Location : Any
NP : Immediate
Level : SA and M
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
