| Request: |
Information Technology_IND - IND_Developer |
| Qty: |
1 |
| Candidate Submission Limit Per Supplier: |
3 |
| Candidate Submission Limit Per Request: |
25 |
| Desired Start Date: |
11/30/2026 |
| End Date: |
5/31/2027 |
| Hrs/Wk: |
45.00 |
| MSP Owner: |
Katara, Nipun
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| GBAMS Requisition ID: |
10922422 |
| Estimated Expense: |
Rs0.00 (Sum of Expense * Quantity of Candidates) |
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| Job Description: |
RGS: 10922422
Location: Chennai, Hyderabad, Bangalore
Skills Required: Digital: Microsoft Azure~Digital : Scala~Digital : Databricks
Experience: 8-10 Years
Data Engineer Databricks & Azure Job Summary
• We are seeking an experienced Data Engineer with strong expertise in Azure Data Services and Databricks to design| build| and maintain scalable| high performance data pipelines.
• The ideal candidate will work closely with analytics| data science| and business teams to enable reliable data ingestion| transformation| and analytics in a cloud native environment.
• Key Responsibilities- Data Engineering & ETL Design| develop| and maintain end to end data pipelines using Azure Databricks Build scalable ETL/ELT solutions for structured and unstructured data Process large datasets using Spark (PySpark / Scala / SQL)
• Optimize Databricks jobs for performance and cost efficiency Implement data transformations using Delta Lake Azure Data Platform Work with Azure services such as: Azure Data Lake Storage (ADLS Gen2)o Azure Data Factory (ADF)o Azure Databrickso Azure Synapse Analyticso Azure SQL / SQL Server
• Design data architectures following Azure best practices Implement secure and scalable cloud native data solutions
• Data Quality| Governance & Reliability Ensure data accuracy| consistency| and reliability Implement data validation| monitoring| and error handling Support data governance| lineage| and audit requirements Apply security best practices and access controls
• Performance & Optimization Tune Spark jobs and queries for performance improvements Optimize partitioning| caching| and cluster configurations Monitor pipeline health and troubleshoot failures
• Collaboration & Process Work closely with data analysts| data scientists| and business teams Participate in Agile/Scrum ceremonies Document data pipelines| architectures| and best practices Support production deployments and ongoing enhancements
• Required Skills & Qualifications Technical Skills Strong experience with Azure Databricks Proficiency in Spark SQL / PySpark / Scala Hands on experience with Azure Data Factory
• Strong knowledge of Azure Data Lake (ADLS Gen2) Experience with Delta Lake Solid understanding of SQL Familiarity with ETL design patterns Experience with CI/CD pipelines (Azure DevOps) Knowledge of Git |
| Comments for Suppliers: |
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| Rate Card Class: |
IND_Developer |
| Category: |
Category 4 |
| Level: |
Level III |
| Bill Rate: |
Rs90,000.00 - Rs165,000.00 Monthly NOOT |
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