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Tier-1 brand, metro location, and mid-level data role increase competition.
Data engineering is moderately transferable, Databricks specialization increases domain specificity.
Explicit 3-year requirement and mandatory Databricks expertise make screening strict.
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Design, develop, and maintain data solutions including data generation, collection, processing, and scalable data pipelines.
Implement and manage ETL processes to ensure data quality and enable migration/deployment across systems.
Monitor and troubleshoot data pipelines for continuous, reliable data flow while documenting processes and supporting junior team members.
Minimum 3 years of experience with Databricks Unified Data Analytics Platform.
15 years of full-time education required.
Location: Bengaluru office based role.
Work Experience Required: Minimum 3 years with listed technology (Databricks).
Experienced in independently managing data engineering tasks and becoming a Subject Matter Expert (SME).
Skilled in collaborating with cross-functional teams to deliver scalable data solutions.
Capable of mentoring junior team members and contributing actively in technical discussions.