This position is classified as structured hybrid, with an expectation of a minimum of three (3) days per week working in the office and flexibility to work remotely on the remaining days. JOB DESCRIPTION Location Requirement
This position is open only to candidates who currently reside in one of the following approved locations: West Los Angeles, CA Job Summary: Lead ETL Engineer of large-scale data solutions. You will join a team delivering a transformative next-gen cloud hosted data platform. The ideal candidate will have a proven track record in implementing next-gen cloud data solutions and transformation pipelines for large scale organizations. We are seeking someone with deep technical skills in a variety of data warehouse related technologies to play an important role in developing and delivering early proofs of concept and production implementation. The successful candidate will have hands-on experience in a multitude of data domains; including building data warehouse models, ETL development, automated testing framework, performance tuning, service delivery, incident resolution tracking, and change management. Key Responsibilities Architecting and maintaining Operational data stores (ODS), Enterprise Data Warehouse (EDW) and associated data intelligence environments including data lakes, data marts, and metadata repositories. Designing and implementing high performance data movement pipelines using multiple ETL tools (Informatica, Azure Data Factory, SQL Packages, etc) with batch and real-time event data streams. Developing scalable and re-usable frameworks for ingestion of structured and semi-structured data; and implementing various large-scale settlement and reconciliation frameworks. | 
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