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Tier-1 brand, generalist Data Engineer title, metro location, and broad required skillset make competition high.
Core data engineering skills transfer across industries, but banking regulatory and platform specifics increase domain specificity moderately.
Extensive mandatory tooling, platform and regulatory expectations imply strict technical screening and domain experience.
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Build and maintain scalable data pipelines, data warehouses, and data lakes ensuring data accuracy, accessibility, and security.
Design and optimize data ingestion frameworks and processing algorithms for large data volumes and velocity.
Collaborate with data scientists and business divisions to deploy machine learning models and influence data strategy and operational effectiveness.
Experience required with designing and developing ETL/ELT pipelines in cloud environments and proficiency in SQL and database technologies (relational and NoSQL).
Experience with Python, Scala, or Java programming and modern data platforms such as Databricks, Snowflake, Spark.
Must be capable of implementing CI/CD pipelines and managing data security and compliance.
Location requirement: Pune; Work Experience Required: Not explicitly mentioned in the JD.
Ability to lead or collaborate in complex, cross-functional data engineering projects impacting business-wide functions.
Experienced in troubleshooting pipeline performance, cost optimization, and operational risk management in data engineering.
Demonstrated capacity to consult on complex issues, influence stakeholders, and communicate complex technical information clearly.