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Tier-1 bank brand, mid-level generalist Data Engineer role in metro with broad skill requirements increases applicant competition.
Core data engineering skills are highly transferable across industries despite some financial-domain specifics.
Mandatory Snowflake/Python/AWS experience and regulated banking environment enforce strict technical and compliance filters.
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Build and maintain data infrastructure and pipelines primarily on Snowflake integrated with AWS data stack components such as S3, Athena, and Spark.
Ensure data quality through testing, monitoring, logging, and alerting; productionize models and data analyses for clean deployment in production environments.
Collaborate with IT, vendors, and business stakeholders to onboard new datasets, develop analytical data models, and support BI tools like Tableau and Power BI.
Strong experience with Snowflake data platform, SQL, and Python programming.
Experience in data pipelining, automation, and CI/CD practices for data platforms and environment promotion.
Familiarity with big data tools on AWS, including Athena, Presto, Spark, and AWS S3.
Work Location: Mumbai; Work Experience Required: Not explicitly mentioned in the JD.
Technical contributor capable of building operational, production-grade data pipelines and infrastructure with a focus on Snowflake and AWS ecosystem.
Experienced in collaborating across IT and business teams to translate requirements into scalable data solutions and analytical models.
Comfortable working in a fast-paced, time-sensitive environment handling large-scale datasets and implementing continuous integration and deployment for data products.