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Tier-1 brand, metro location, mid-level generalist Data Engineer title increases candidate competition.
Core data engineering skills transfer well across industries, with moderate finance domain preference.
Explicit minimum experience and several mandatory technologies create stringent shortlisting filters.
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Design, develop, and manage scalable data warehouse solutions and data pipelines primarily in the Snowflake cloud environment.
Migrate existing data workflows from relational databases to Snowflake, ensuring data integrity, governance, and optimized performance.
Collaborate with cross-functional teams to integrate data science and machine learning workflows, maintain Snowflake environments, and implement ETL pipelines using Talend and Informatica.
Minimum 4 years of relevant data engineering experience.
Strong expertise in Snowflake data modeling, development, and REST API integration.
Proficient in building ETL pipelines using Talend and Informatica, along with advanced SQL and Python scripting skills.
Experience with relational databases (DB2, SQL) and distributed systems.
Experienced in cloud data platform modernization projects, especially migrating from relational stores to Snowflake.
Ability to integrate data governance and collaborate across IT and business units, supporting machine learning model deployment.
Skilled in optimizing data workflows for performance and cost-efficiency within Snowflake ecosystems.