Join our team as a Data Engineer, where you'll be instrumental in crafting robust data solutions.

Your role will involve designing, developing, and maintaining systems for data generation, collection, and processing. You will build efficient data pipelines and implement ETL processes to ensure seamless data migration and deployment across various platforms.

This position requires a strong focus on data quality and the ability to optimize data flows for enhanced performance and reliability.

Independently drive projects and become a subject matter expert, actively contributing to team discussions and problem-solving.

Collaborate with cross-functional teams to understand data needs and deliver scalable solutions.

Monitor and fine-tune data pipelines for optimal performance and reliability, while documenting processes for knowledge sharing.

Provide guidance and support to junior team members.

A minimum of 3 years of experience is mandatory, with a strong emphasis on the Databricks Unified Data Analytics Platform.

Demonstrated experience in building and managing scalable ETL pipelines, coupled with a solid understanding of data integration and transformation techniques.

Familiarity with cloud-based data solutions and troubleshooting data quality issues are essential.

Knowledge of data governance and security best practices is also required.