Senior Data Engineer- Azure Databricks
InfoCepts

Position: Senior Data Engineer - Azure Databricks
Purpose of the Position:
To design, build, and optimize scalable data pipelines and solutions using Azure Databricks and related technologies, to make faster, data-driven decisions as part of its data transformation journey.
Proficiency in data integration techniques, ETL processes and data pipeline architectures. Well versed in Data Quality rules, principles and implementation.
Location: Nagpur/ Pune/ Chennai/ Bangalore
Type of Employment: FTE
Key Result Areas and Activities:
Data Pipeline Development: Design and implement robust 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.
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