Data Engineer - Databricks - Hybrid
Listed on 2026-09-02
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Software Development
Data Engineering
Databricks experience is a must. Looking for a leader that loves Databricks and can work on a fast‑moving team.
Design and develop ETL processes that transform raw data, flat files, and Excel spreadsheets into SQL databases. Understand concepts of data marts and data lakes and have experience migrating legacy systems to data marts/lake. Use additional cloud technologies such as Azure SQL Server. Maintain comprehensive project documentation. Demonstrate aptitude to learn new technologies and perform continuous research, analysis, and process improvement.
Exhibit strong interpersonal and communication skills to work in a team environment, including customer and contractor technical staff, end users, and management team members. Manage multiple projects, responsibilities, and competing priorities.
- Programming languages, frameworks, and file formats such as:
Python, SQL, PLSQL, and VB - Database platforms such as:
Oracle, SQL Server, MySQL - Big data concepts and technologies such as Synapse & Databricks
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