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Remote role with a common engineer title but niche Databricks/PySpark skills yields medium competition.
Skills transfer across industries but require Azure Databricks and PySpark specialization, so medium sensitivity.
Explicit 7+ years and many mandatory Databricks, PySpark, Azure and Power BI requirements make shortlisting strict.
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Design, develop and optimize scalable data pipelines using Python, PySpark, Spark SQL, and Azure Databricks.
Build and manage data solutions involving Delta Lake, Unity Catalog, and Databricks Workflows, ensuring data governance, security, and compliance.
Develop and maintain Power BI dashboards, complex SQL queries, and data models for warehousing and visualization; collaborate cross-functionally to translate business needs into technical solutions.
7+ years of hands-on software development experience with strong Python programming expertise.
Proficient in PySpark, Spark SQL, Azure Databricks (including Unity Catalog), Delta Lake, Azure Data Lake, Azure Data Factory, and Power BI (DAX and Power Query).
Skilled in advanced SQL, data modeling for warehousing/visualization and CI/CD tools such as Azure DevOps and Git.
Work Experience Required: 7+ years; Location: India, Remote.
Experienced in end-to-end data engineering within Azure cloud ecosystem focusing on scalable, secure data pipelines and governance.
Able to independently own technical implementations while actively collaborating in Agile environments including code reviews and cross-team discussions.
Strong at translating complex business requirements into actionable data engineering solutions with attention to quality, scalability, and performance.