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Mid-level Data Engineer in Bangalore at a recognized firm with common Databricks/ETL skills increases competition.
Databricks, ETL and Power BI skills are highly transferable across industries, easing cross-industry fit.
Explicit 3+ years plus Databricks/data platform and pipeline requirements enforce strict technical screening.
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Design, build and maintain scalable data pipelines and transformation processes using Databricks to support reporting, analytics, and operational data use cases.
Develop and optimize Bronze, Silver, and Gold layer datasets, ETL/ELT frameworks, and analytical data models for stakeholders across Underwriting, Operations, Finance, and Leadership.
Ensure data integrity, quality controls, workflow scheduling, performance optimization, and support data governance initiatives within AUM's data platform.
Any Graduate or Post-Graduate (full time) degree mandatory.
Minimum 3 years of relevant data engineering or analytics experience.
Work Location: Bangalore, Whitefield; In-office work style.
People Manager role: No; Must have experience with Databricks and data pipeline development.
Experienced in building and managing multi-layer data architectures (Bronze, Silver, Gold) using Databricks.
Strong understanding of data ingestion, transformation, validation, and orchestration workflows supporting business analytics.
Able to collaborate with cross-functional teams including Underwriting, Operations, Finance, and leadership to translate reporting requirements into scalable data solutions.