Join our dynamic Data & Analytics team as a Mid+ Data Engineer and contribute to building scalable data solutions that support business decision-making through advanced data integration, transformation, and visualization processes.
Requirements
- Develop and optimize ETL pipelines using Databricks to support data integration and processing.
- Collaborate with stakeholders across technical and business teams to gather requirements and design scalable data solutions.
- Manage the data lifecycle, from ingestion into the data lake (bronze, silver, gold tiers) to preparation for visualization.
- Implement and maintain data processing logic using SQL and Python.
- Support advanced analytics and machine learning operations within the Databricks environment.
- Build and enhance dashboards and reports, with Sigma Computing as a preferred platform (Qlik is not required).
- Apply Agile methodologies to enhance collaboration and efficiency across the analytics team.
- BS degree in Computer Science or a related subject
- 3 years of experience in a Data Engineer, Analytics Engineer, or similar role.
- Advanced proficiency in SQL and Python for data transformation and automation.
- Experience working with PySpark.
- Experience working with Databricks or other data lake platforms.
- Familiarity with the medallion architecture (bronze, silver, gold tiers).
- Strong analytical mindset with experience in advanced analytics techniques.
- Intermediate experience with ETL pipeline development and machine learning operations.
- Familiarity with Agile methodologies and Sigma Computing (preferred but not required).
- Excellent communication and collaboration skills.
