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Tier-1 brand, generic engineer title, mid-level Mumbai role attracts many qualified applicants.
Data engineering skills are broadly transferable, but banking specifics and Oracle HCM needs increase domain sensitivity.
Multiple mandatory cloud, PySpark, ETL, and database skills with explicit 3+ years requirement.
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Designs and delivers secure, stable, and scalable software solutions within an agile team supporting Employee Platforms.
Develops and maintains high-quality production code, including ETL pipelines using AWS services and Pyspark.
Leverages AI-assisted development tools to improve code quality, delivery speed, and system architecture; performs data analysis to drive continuous application improvements.
3+ years experience in software engineering with data ingestion to AWS cloud using services like S3, Lambda, Glue, and Pyspark.
Proficient in system design, development, debugging, and operational stability in large corporate environments.
Experience with cloud and traditional data engineering technologies including AWS Glue, EMR, and data warehouses.
Hands-on experience with AI-assisted development tools and strong knowledge of RDMS (Oracle), SQL, PL/SQL, KMS, IAM, CI/CD, and Infrastructure as Code tools (Terraform, CloudFormation).
Experienced in developing complex data ingestion and ETL pipelines using AWS cloud native services and Pyspark at scale.
Capable of integrating AI-assisted coding tools critically into software development workflows to enhance productivity and code security.
Familiarity with streaming services (Kafka, AWS MSK) and test-driven development techniques preferred but not mandatory.