✨ About The Role
- The Senior Data Engineer will be responsible for developing and maintaining data pipelines that process large volumes of structured and unstructured data.
- This role involves building and maintaining data models using dimensional data modeling techniques.
- The engineer will create insightful reports and dashboards to support business performance analysis.
- Collaboration with cross-functional teams to gather business requirements and translate them into technical solutions is a key responsibility.
- The position requires troubleshooting and resolving data issues in a timely manner while optimizing query performance.
âš¡ Requirements
- The ideal candidate will have over 4 years of experience in data engineering, showcasing a strong background in SQL and Python.
- Expertise in tools such as Databricks, Airflow, and DBT is essential for success in this role.
- A proven ability to design, build, and maintain advanced data models is crucial for supporting comprehensive data analytics and reporting.
- Strong communication and collaboration skills are necessary to work effectively with cross-functional teams.
- The candidate should be able to work independently and thrive in a dynamic environment, demonstrating a proactive approach to problem-solving.