Senior Data Engineer

This opportunity involves collaborating with clients to deeply understand their existing IT environments, applications, business requirements, and digital transformation goals. The data engineer will collect and manage large volumes of varied data sets and work directly with ML Engineers to create robust and resilient data pipelines that feed Data Products. This also involves defining data models that integrate disparate data across the organization, designing, implementing, and maintaining ETL/ELT data pipelines, performing data transformations using tools such as Spark, Trino, and AWS Athena to handle large volumes of data efficiently, and developing, continuously testing, and deploying Data API Products with Python and frameworks like Flask or FastAPI. Provectus provides comprehensive private medical insurance or a budget for your medical needs, paid sick leave, vacation, and public holidays, and offers participation in internal training programs like Leadership and Public Speaking, with full support for AWS and other professional certifications.