Senior Data Engineer- Databricks

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Position: Senior Data Engineer – Databricks

Location: Nagpur/Pune/Bangalore/Chennai

Type of Employment: FTE (Should be interested in Rotational shift)

Purpose of the Position: To design, build, and optimize & support scalable data pipelines and solutions using Databricks and related technologies, to make faster, data-driven decisions as part of our client’s data transformation journey. We are looking for data engineer with proficiency in data integration techniques, ETL processes and data pipeline architectures and well versed in Data Quality rules, principles and implementation.

Key Result Areas and Activities:

• Data Pipeline Development & Support: Design, develop and optimize end to end batch and streaming data pipelines using Azure Databricks and Spark.
• Data Architecture Implementation: Apply Medallion Architecture to structure data layers (raw, enriched, curated).
• Data Quality & Governance: Ensure data accuracy, consistency, and governance using tools like Azure Purview and Unity Catalog.
• Performance Optimization: Optimize Spark jobs, Delta Lake tables, and SQL queries for efficiency and cost-effectiveness.
• Collaboration & Delivery: Work closely with analysts, architects, and business teams to deliver end-to-end data solutions.