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Data Engineer
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Salary
≈ $19k – $40k per year (Estimated)
Location
In office (Mumbai)
Seniority
Senior · 6+ years exp
Confirmed on the employer's own hiring board on Nov 1, 2026. First seen by Alion on Oct 30, 2026. Zensar Technologies scores A on the Alion truth index.
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Zensar Technologies is an Indian technology services company founded in 1991 and part of the RPG Group, providing digital engineering, application services and infrastructure management to clients in banking, insurance, retail, manufacturing and healthcare. Its work covers experience design, cloud and data engineering, application development and maintenance, and increasingly applied artificial intelligence, delivered from centres in India, South Africa, Europe and the United States. Headquartered in Pune and listed in India, it earns a large share of revenue from North America and has been repositioning toward higher-value engineering work.
Zensar Technologies Limited is seeking a highly skilled Data Engineer to engineer and deliver Finance (Capital & Tax) domain-aligned data products within a centrally governed Microsoft Data Platform. You will modernize legacy SQL workloads into scalable Spark-based Lakehouse datasets, manage ADF pipelines, Databricks notebooks, and Azure Analysis Services cubes, and ensure data products are version-controlled, tested, monitored, and continuously improved.
- Build and maintain bronze, silver, and gold lakehouse layers in Microsoft Fabric and Databricks.
- Develop ingestion and transformation pipelines using notebooks and PySpark.
- Implement incremental loading and change data capture (CDC) from on-prem SQL to Fabric/Databricks.
- Optimize Delta tables for performance and cost efficiency.
- Create and sustain Azure Data Factory pipelines and Azure Analysis Services cubes.
- Own data products as managed assets: version control, testing, monitoring, and continuous improvement.
- Ensure datasets comply with defined data contracts, governance, and platform standards.
- Collaborate with business stakeholders, analysts, and the central Data Platform team.
- Design and optimize semantic models for enterprise analytics platforms such as Power BI.
- Mentor junior engineers and champion architectural standards and modern technologies.
- 6+ years of hands-on data engineering experience in SQL-heavy or enterprise data environments.
- Deep expertise in Microsoft SQL Server and advanced T-SQL development, including query optimization.
- Practical experience with Microsoft Fabric, Lakehouse architecture, and Delta Lake.
- Proficiency in Spark (PySpark preferred) and Python notebooks for distributed data transformation.
- Experience with Azure Data Factory, Databricks, Azure Analysis Services, ADLS Gen2, and Purview.
- Strong knowledge of dimensional modeling (Kimball) and semantic model design for Power BI.
- Proven ability to implement incremental loading and CDC patterns in hybrid environments.
- Familiarity with CI/CD pipelines, testing frameworks, monitoring, and data governance principles.
- Background in financial services, banking, or capital markets.
- Microsoft certifications (Azure Data Engineer, Fabric) and excellent facilitation, presentation, and influencing skills.
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