<p>Kforce has a client in Greenwood Village, CO that is seeking an experienced SQL ETL Developer to support large-scale data transformation initiatives within a video-focused data environment. This role is heavily SQL-driven and centered on transforming high-volume datasets rather than traditional database design. The ideal candidate is adaptable, comfortable shifting between priorities, and thrives in fast-moving, production-focused environments.</p> <p>Responsibilities:</p> <ul> <li>Design, develop, and maintain complex ETL transformations using advanced SQL </li><li>Process and transform large-scale datasets (millions of rows) efficiently and reliably </li><li>Build and optimize SQL-based data transformations leveraging CTEs and window functions </li><li>Develop and support Spark and PySpark-based data processing jobs </li><li>Support and enhance data pipelines running in an AWS-based environment </li><li>Work with SQL-driven Spark workloads to process and transform large datasets </li><li>Utilize template-based shell and Python scripts to support ETL workflows </li><li>Collaborate across distributed teams to support evolving data needs and priorities </li><li>Troubleshoot performance and data quality issues across ETL processes* Strong, hands-on experience with advanced SQL, including CTEs and window functions </li><li>Proven experience working with large datasets at scale </li><li>Experience performing ETL transformations in production environments </li><li>Hands-on experience with Spark and PySpark for large-scale data processing </li><li>Familiarity with AWS data services, particularly Athena and/or EMR </li><li>Ability to work in an agile environment with shifting priorities and multiple workstreams </li></ul> <p>Preferred Skills:</p> <ul> <li>Python scripting experience beyond ETL processing </li><li>Shell scripting experience </li><li>Experience working with distributed data processing frameworks </li><li>Exposure to AWS analytics and big data services </li></ul>