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Tier-1 bank, metro Mumbai, popular Data Engineer role with broad Snowflake/AWS skillset drives high competition.
Strong data engineering skills are transferable across industries, though banking-specific datasets and compliance increase sensitivity.
Mandatory Snowflake/Python/AWS/CI-CD requirements plus regulated banking context create strict technical screening.
Build and maintain Snowflake-based data infrastructure integrated with broader data stack (AWS, S3, Athena, Iceberg).
Develop and maintain data pipelines and analytical data models for data science and business intelligence users.
Implement CI/CD practices, monitoring, logging, and alerting for reliable production-grade data products consumed internally and by clients.
Strong experience with Snowflake, SQL, and Python.
Experience with data pipelining, automation, and CI/CD for data platforms.
Familiarity with Big Data tools on AWS such as Presto, Spark, or Athena.
Work Location: Mumbai. Work Experience Required: Not explicitly mentioned in the JD.
Proficient in building and optimizing analytical data models and pipelines in Snowflake and AWS environments.
Experienced in CI/CD implementation and environment promotion for data infrastructure.
Able to communicate effectively with stakeholders and partners to define requirements and implement data onboarding and solutions.