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Tier-1 brand, mid-level (3+ years) data role, and Mumbai metro raise competitive density.
Skills transferable across industries, but finance-grade governance and Data Vault specialization reduce portability.
Explicit 3+ years plus mandatory AWS, Databricks, SQL, and data governance skills.
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Designs, develops, and troubleshoots software solutions across multiple technical areas aligned with business objectives.
Produces secure, high-quality production code and architecture/design artifacts for complex applications ensuring adherence to constraints.
Uses large, diverse data sets to drive continuous improvement, and leverages enterprise-authorized AI-assisted development tools to enhance code quality and productivity.
3+ years applied software engineering experience with formal training or certification.
Hands-on experience with AWS services including S3, Glue, Redshift, Lambda, and EMR.
Proficiency in Java and Python programming languages.
Experience with Data Modeling (Data Vault 2.0, Star, Snowflake schema), advanced SQL querying and performance tuning, plus use of Databricks notebooks, jobs, and Delta Lake.
Experienced in delivering complex software solutions within agile environments supporting financial or similarly regulated domains.
Proficient in applying AI-assisted software development tools responsibly, with strong focus on validation, security, and data sensitivity.
Able to analyze large data sets for software improvement and influence system architecture and coding practices.