You will design, build, and support data pipelines and integrations as a senior individual contributor. Your focus is on ensuring data quality, reliability, and performance across production workflows.
Responsibilities
- Build and maintain ETL processes using Python for data processing and automation.
- Design and support scalable data pipelines that handle large datasets.
- Execute complex SQL queries for data extraction, transformation, and validation.
- Monitor production data workflows and resolve issues to ensure system reliability.
Required Skills
- 5+ years of hands-on experience as an ETL developer.
- Strong proficiency in Python for building data processing scripts and automation tools.
- Expert-level SQL skills for extracting, transforming, and validating data.
- Proven experience working with large datasets and data warehouses.
- Ability to support production data workflows and perform root cause analysis.
- Bachelor's degree in Computer Science, Engineering, or a related field.