Data Engineer

📋 Description Part of team designing and developing the AWS data ecosystem for the client. Gather, analyze, model, and document requirements; direct client contact. Model data from diverse sources; troubleshoot complex issues. Design and optimize storage architectures (data lakes/warehouses); indexing and caching. Monitor data processing and storage; root cause analysis. Mentor and train less experienced data engineers. 🎯 Requirements 4+ years as Data Engineer with AWS cloud infrastructure. Deep knowledge of AWS services. Design/build/deploy cloud data pipelines from DBs, APIs, streaming. Proficient in SQL and NoSQL DBMS; design and manage databases. Programming: SQL, Python, and scripting. Knowledge of orchestration (Airflow) and data transformation tools (DBT/Dataform). 🎁 Benefits Office as an option: remote or in-office. Workation: work from inspiring locations. Great Place to Work certified. Flexible hours and contract forms. Udemy learning platform access from day 1. 110+ training opportunities yearly for upskilling.