Lead Data Engineer - Databricks (Rotational night shift)
InfoCepts (company site, opens in a new tab)PuneOn-siteDirect career pageEst. 22–35 LPA
Posted on 29 Aug
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and optimize end-to-end batch and streaming data pipelines using Azure Databricks and Spark.
- Implement Medallion Architecture for structuring data layers (raw, enriched, curated) and ensure data quality and governance with tools like Azure Purview and Unity Catalog.
- Collaborate with analysts, architects, and business teams to deliver scalable, efficient data solutions while managing performance optimization of Spark jobs, Delta Lake tables, and SQL queries.
Minimum Requirements
- Proven hands-on experience with Azure data stack including Databricks, Data Factory, and Delta Lake.
- Skilled in Python, PySpark, SQL with strong query optimization and building scalable ETL/ELT pipelines.
- Familiarity with data governance tools and DevOps practices including Git and CI/CD pipelines.
- Rotational shift work including 2 weeks of night shift per quarter; Location: Pune, Nagpur, Chennai, or Bangalore.
Ideal Candidate Profile
- Experienced data engineer specialized in Azure Databricks and Lakehouse architecture with Medallion design pattern expertise.
- Operationally strong in developing and optimizing complex data pipelines in enterprise environments with Agile delivery experience.
- Comfortable working in rotational night shift environment and collaborating across cross-functional teams for data transformation initiatives.