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Remote mid-level data role with common title and metro locations increases applicant density despite some niche skill requirements.
Core data engineering skills are transferable but Microsoft Fabric/Databricks focus raises domain specificity.
Multiple mandatory technologies and explicit 5+ years requirement make shortlisting highly selective.
Design, develop, and maintain scalable data platforms using Databricks, Microsoft Fabric, SQL, Spark, and Delta Lake.
Lead full lifecycle data engineering activities including automation frameworks, CI/CD pipelines, and data quality governance.
Optimize performance and cost efficiency of enterprise data platforms, implementing security controls and collaborating across teams.
5+ years of experience in Data Engineering, Analytics Engineering, or Data Platform Development.
Strong hands-on skills in Databricks, Apache Spark (PySpark), SQL, Microsoft Fabric, and Delta Lake.
Experience with automation frameworks, data pipelines, ETL/ELT solutions, and CI/CD pipelines using Azure DevOps, GitHub, or equivalents.
Bachelor's Degree required; Work Experience Required: 5+ years; Location: Hyderabad / Mumbai / Bangalore.
Experienced in building and optimizing enterprise data platforms with Databricks and Microsoft Fabric components including Data Factory, Lakehouse, Warehouse, and Semantic Models.
Skilled in developing automated testing, validation, reconciliation, and governance frameworks for data quality and security.
Capable of leading technical discussions, mentoring engineers, and aligning engineering best practices with strategic business objectives.