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.