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ETL Data Engineer with Snowflake/Python/SQL @ Washington, DC
3 months ago
ETL Data Engineer with Snowflake/Python/SQL - Hybrid model (2-3 days per week)
Location: Washington, DC
***Prefer locals or nearby who can come onsite***
Snowflake and Python are the primary skillsets.
• We are looking for someone that is proficient in Snowflake, SQL, and Python.
• Ideally someone with years of ETL experience (minimum 3+ years) who understands high level business functions and applying that to a streamlined automated process to keep data up to date and available for consumption within Snowflake.
Job Description:
• 5+ years ETL development and understanding of data engineering concepts.
• 3+ years using Snowflake as part of the ELT deployment.
• Develop and maintain ETL processes to load data from various sources into Snowflake.
• Proficiency in SQL and experience with data modeling.
• Monitor and optimize Snowflake performance, including query tuning, clustering, and partitioning strategies.
• 2+ years using Python for data engineering, and automations.
• 3 + years in the financial services industry.
• Excellent communication skills, with the ability to work collaboratively with cross-functional teams.
Option Skills:
• 3 + years R scripting (optional).
• 3 + years R visualizations (optional)
• Experience with data integration tools such as SSIS, SSAS is a plus.
• Familiarity with CI/CD processes and DevOps practices for data pipelines.
• Snowflake certification (e.g., SnowPro Core) is preferred.