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Tier-1 brand, Pune metro, plus broad generalist data platform skills.
Core data platform skills are transferable, but banking domain preference raises contextual sensitivity.
Lead-level banking role with mandatory tech stack and strong risk/control expectations.
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Lead design, development, and delivery of scalable, maintainable, and high-performance data platform software solutions using Python/PySpark and AWS cloud services.
Drive platform stability, resiliency, production support, technical upgrades, and operational excellence initiatives for the data engineering environment.
Collaborate cross-functionally with product managers, designers, and engineers to align technical solutions with business objectives and contribute to strategic direction and innovation.
Expertise in Python/PySpark for large-scale data engineering solutions.
Hands-on experience with AWS data platform services for cloud-native data solution design and deployment.
Strong skills in Data Warehousing, SQL, Data Modelling, and ETL (Informatica preferred).
Work Experience Required: Not explicitly mentioned in the JD; Location: Pune based role.
Experienced in leading platform stability, resiliency, and operational excellence within complex data environments.
Familiar with BI/Analytics platforms (Power BI, QlikView, Tableau), DevOps practices including CI/CD and Infrastructure as Code, and tools like Databricks or Snowflake.
Preferably has prior experience in banking or financial services domain, combining technical expertise with business acumen and strategic thinking.