The Senior Data Engineer will play a key role in building, scaling, and optimizing a modern Databricks-first data platform
Job Summary
The Senior Data Engineer will play a key role in building, scaling, and optimizing a modern Databricks-first data platform.
This hands-on position involves designing and improving Spark-based data pipelines using Python and SQL in a cloud environment.
The role partners closely with engineering, analytics, and business teams to deliver scalable solutions supporting analytics, BI, and future AI/ML use cases.
Matching Summary
The Senior Data Engineer will play a key role in building, scaling, and optimizing a modern Databricks-first data platform.
Skills & Requirements
Must-have
Hands-on Databricks experience required
Strong Python scripting and SQL skills
Apache Spark for cloud data transformation
Experience with large-scale data initiatives
Real-time and streaming data pipeline development
Nice-to-have
Snowflake experience as alternative to Databricks
Streaming technologies like Kafka or Event Hub
CI/CD practices in data engineering
Familiarity with Power BI or Tableau
Agile development environment experience
Key Requirements
Bachelor's degree in Computer Science or related field
5+ years of hands-on Data Engineer experience
Advanced SQL skills for analytics and troubleshooting