Senior Data Engineer

Job Summary

Bridging data engineering and analytics, the hybrid Senior Data and Analytics Engineer will design, build, and maintain scalable data pipelines and transformation layers using Databricks, enabling clients to effectively utilize their data for business decisions.

Key responsibilities

• Design, build, and maintain scalable data pipelines and ELT workflows with Databricks as the primary platform
• Collaborate with cross-functional teams to develop and implement data strategies that meet client needs
• Ensure timely delivery of data engineering and analytics projects while maintaining reliability and scalability

Required qualifications

• Proven experience as a Data Engineer or Analytics Engineer, focusing on data pipeline design and development
• Strong programming skills in Python and SQL
• Hands-on expertise with Databricks, including Delta Lake and dbt for data transformation
• Demonstrated experience in data modeling and ELT/ETL processes
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud