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Bengaluru senior data role with common Snowflake/PySpark skills and moderate employer brand, medium competition.
Core data engineering skills are transferable, but preferred banking/payments experience increases domain specificity to medium.
Explicit 7–10 years plus mandatory Snowflake, PySpark, Python, and AWS skills imply high shortlisting strictness.
Develop and maintain scalable data pipelines integrating Cards Modernisation, commbank.data, and Collections platforms using Snowflake, PySpark, Python, and AWS.
Ensure data accuracy, quality, and reliability through implementing data quality checks, reconciliations, and monitoring.
Support ETL/ELT development, optimize SQL queries, troubleshoot and resolve production data issues, and collaborate with business and technology teams to deliver reliable data solutions.
7-10+ years of experience in data engineering or related roles.
Mandatory skills: Snowflake, PySpark, Python, Advanced SQL, AWS S3, ETL/ELT, Data Modelling, Data Quality & Reconciliation, CI/CD practices.
Experience working with data pipelines and production deployments in Agile or enterprise environments.
Not explicitly mentioned in the JD: Specific degree requirements, notice period, or onsite location beyond 'Offshore (India)'.
Strong hands-on production experience building secure, scalable, and high-quality data pipelines.
Experience in banking, cards, payments, or financial services domains is highly advantageous.
Technical proficiency with AWS services and ability to troubleshoot complex data pipeline issues effectively.