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Strong employer brand, common data engineer title, metro location, and mid-level experience range drive high competition.
Azure and Databricks specialization makes skills somewhat transferable across industries but retains domain specificity.
Explicit 6-15 years plus mandatory Azure, Databricks, PySpark, SQL, and Power BI requirements increase strictness to high.
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Design, build, and maintain data transformation pipelines using Databricks, PySpark, and Git.
Manage SQL databases including Databricks managed tables and implement complex data calculation engines.
Build and maintain Power BI reports aligned with business requirements; participate in code reviews and collaborate with software engineers.
6 to 15 years of experience as a Data Engineer or equivalent.
Bachelor of Engineering degree required.
Proficiency with Azure, Databricks, PySpark, SQL, Power BI, and Git required.
Location requirement: NCR (National Capital Region, India).
Experienced in designing complex data transformation and calculation solutions using Databricks and PySpark.
Capable of collaborating across software engineering teams and participating in code reviews and software planning.
Comfortable contributing to automation, testing, and deployment processes in data engineering projects.