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Tier-1 brand, common Data Engineer title, mid-level experience requirement, and broad skillset increase competition.
Core data engineering skills are transferable, though banking domain and Snowflake specialization increase specificity.
Explicit years plus mandatory Snowflake, Talend/Informatica, SQL/Python, and API experience implies high strictness.
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Design, develop, and manage scalable data warehouse and pipeline solutions using Snowflake, Talend, Informatica, and APIs in a cloud environment.
Migrate data workflows from relational databases to Snowflake and optimize data models, ETL processes, and Snowflake environments for performance and cost efficiency.
Collaborate on integrating data governance, machine learning models, and support quality through code reviews and best practice documentation.
At least 4 years of relevant experience in data engineering and data warehouse development.
Proficiency in Snowflake data store, including Snowflake REST API usage.
Experience with Talend and Informatica ETL tools, SQL, and Python scripting for data processes.
Work Experience Required: Minimum 4 years; Notice Period: Not explicitly mentioned in the JD.
Experienced with complex data modeling and schema design both on relational and cloud stores (Snowflake).
Capable of collaborating across IT and business teams, including data scientists, to implement integrated machine learning solutions.
Strong strategic mindset in optimizing data workflows and applying data governance at scale in distributed systems.