✨ About The Role
- The Data Engineer will be responsible for designing, developing, and optimizing data pipelines to handle large volumes of structured and unstructured data.
- Building and maintaining advanced data models using dimensional data modeling techniques is a key responsibility.
- The role involves creating insightful reports and dashboards to support business performance analysis.
- Collaboration with data scientists and analysts to support their data needs is an important aspect of the job.
- The Data Engineer will also drive continuous improvement of data processes through automation and innovation.
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.
- The candidate should have experience with cloud analytics databases, particularly Redshift, to effectively manage data pipelines.
- Excellent communication and collaboration skills are necessary to work with cross-functional teams and translate business requirements into technical solutions.
- A proactive approach to troubleshooting and resolving data issues in a timely manner is crucial for maintaining data integrity.