Back
Popular Data Engineer role in metro with common Databricks skills increases candidate competition.
Azure Databricks specialization reduces portability, though core data engineering skills remain transferable.
Mandatory Databricks, PySpark, Azure stack and lead-level hands-on experience make filters strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
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.
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.
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.