Enterprise Data Engineer

We are looking for an experienced Enterprise Data Engineer to join our team. The successful candidate will be responsible for designing, developing, and maintaining data-driven solutions using Python, Airflow, and SQL within an AWS environment.
Job Description
• Design, develop, and maintain ELT pipelines using Python, Airflow, and SQL in an AWS environment.
• Create and manage a data lake and data warehouse solutions on AWS.
• Develop and maintain data-driven dashboards and reporting solutions in PowerBI.
• Connect PowerBI to SQL Server and PostgreSQL Aurora databases using a gateway.
Requirements and Qualifications
• At least ++ years of experience with strong critical thinking skills to assess outcomes, evaluate results, and suggest better alternatives where appropriate.
• Expert-level proficiency in SQL (TSQL, MS SQL) with a strong focus on optimizing queries for performance.
• Extensive experience with Python (including data-specific libraries) and Airflow for ELT processes.
• Proven ability to extract and manage data from third-party APIs.