Responsibilities
- Lead the creation, refinement, and ongoing support of scalable data pipelines and ETL workflows to meet enterprise analytics demands.
- Perform in-depth data analysis to detect trends, anomalies, and meaningful patterns, and present findings and resolutions to relevant parties.
- Work closely with data scientists, analysts, and business units to define data needs and deliver customized analytical tools and outputs.
- Establish and uphold data governance and quality controls to maintain integrity, consistency, and secure handling of data assets.
- Develop comprehensive data models that improve data discoverability and enable fast, efficient querying for reporting and analysis.
- Use Python, Snowflake, and SQL to construct reliable data systems and conduct thorough data profiling tasks.
- Keep current with advancements in data engineering and analytics technologies, integrating relevant innovations into team workflows.
- Provide technical mentorship and support to less experienced engineers and analysts, promoting knowledge sharing and team growth.
Work Arrangement
Hybrid
Other
This role may have in-office requirements dependent upon candidate location.
