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Tier-1 brand, mid-level data engineer title, metro location, and common tooling requirements increase competition.
Data engineering skills are transferable, but specific Snowflake/ETL tooling experience creates moderate domain bias.
Explicit minimum experience plus required Snowflake, Informatica/Talend and SQL/Python skills enforce medium strictness.
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Design, develop, and manage scalable data warehouse solutions in Snowflake, including migrating data flows from relational stores to cloud.
Develop and optimize data ingestion pipelines using Talend, Informatica, and APIs, ensuring high-quality data processing and automation.
Collaborate with teams for data modeling, transformation, and integration of data governance and machine learning tools within Snowflake ecosystem.
Minimum 4 years relevant experience in data engineering or related roles.
Proficient with Snowflake data store, Snowflake REST API, Informatica ETL, Talend ETL, SQL, and Python scripting.
Experience in relational databases and strong data modeling skills both on-premise and cloud.
Work Experience Required: At least 4 years of relevant experience.
Experienced in designing and managing cloud data architectures with a focus on Snowflake and ETL tools.
Able to collaborate across IT and business groups and familiar with integrating machine learning models into data platforms.
Has strategic orientation towards optimizing data workflows, governance, and cost-effective cloud environment management.