Job Description
We’re seeking a skilled Data Engineer based in Columbus, OH , to support a high-impact data initiative. The ideal candidate will have hands-on experience with Python, Databricks, SQL , and version control systems , and be comfortable building and maintaining robust, scalable data solutions.
Key Responsibilities
- Design, implement, and optimize data pipelines and workflows within Databricks.
- Develop and maintain data models and SQL queries for efficient ETL processes.
- Partner with cross-functional teams to define data requirements and deliver business-ready solutions.
- Use version control systems to manage code and ensure collaborative development practices.
- Validate and maintain data quality, accuracy, and integrity through testing and monitoring.
Required Skills
Proficiency in Python for data engineering and automation.Strong, practical experience with Databricks and distributed data processing.Advanced SQL skills for data manipulation and analysis.Experience with Git or similar version control tools.Strong analytical mindset and attention to detail.Preferred Qualifications
Experience with cloud platforms (AWS, Azure, or GCP).Familiarity with enterprise data lake architectures and best practices.Excellent communication skills and the ability to work independently or in team environments.