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Tier-1 brand, metro location, mid-level generalist data-engineer role with broad required skills increases competition.
Core Snowflake/ETL/SQL skills are transferable, though finance domain experience moderately matters.
Explicit minimum experience and mandatory Snowflake, ETL, SQL/Python skills create strict filters.
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Design, model, develop, and manage scalable data warehouse objects and data pipelines in Snowflake using tools like Talend, Informatica, and APIs.
Lead migration of data domains from relational stores to Snowflake cloud data store and optimize data workflows and integrity practices.
Collaborate on data models, ETL processes, integrate data governance and data science tools, and apply machine learning/AI techniques within Snowflake ecosystem.
Minimum 4 years relevant data engineering experience.
Proficient with Snowflake data store, including REST API usage.
Experience with Informatica and Talend ETL tools, SQL query optimization, and Python scripting for large datasets.
Experience with relational databases (e.g., DB2, SQL) and strong data modeling on relational and cloud data stores.
Experienced data engineer at senior or leadership level comfortable designing cloud-native data architectures and migrations.
Demonstrates expertise in Snowflake platform and ETL tools, proficient in automating pipelines and optimizing data workflows.
Collaborates effectively across IT and business stakeholders, including data scientists, to implement machine learning models within data platforms.