Data Engineer

• Collaborate closely with clients to deeply understand their existing IT environments, applications, business requirements, and digital transformation goals;
• Collect and manage large volumes of varied data sets;
• Work directly with ML Engineers to create robust and resilient data pipelines that feed Data Products;
• Define data models that integrate disparate data across the organization;
• Design, implement, and maintain ETL/ELT data pipelines;
• Perform data transformations using tools such as Spark, Trino, and AWS Athena to handle large volumes of data efficiently;
• Develop, continuously test, and deploy Data API Products with Python and frameworks like Flask or FastAPI.

Senior Data Engineer, AWS

Senior Data Engineer, AI