Middle Data Engineer (Databricks / SQL / PySpark)

About the Role

We are looking for a Data Engineer to help build and maintain modern data platforms and migrate data from legacy systems to Databricks. If you enjoy working with large-scale data, building reliable pipelines, and solving complex data problems, we would love to hear from you.

Responsibilities:

• Build and maintain data pipelines and workflows in Databricks
• Write and optimize SQL queries
• Develop ETL/ELT processes using Python and PySpark
• Perform data migration from legacy systems (Oracle, SQL Server, etc.) to Databricks
• Design and implement end-to-end data pipelines
• Analyze and troubleshoot data-related issues, including performance and data quality
• Collaborate with data analysts and engineering teams

Requirements:

• Strong SQL skills (core requirement)
• Experience with Python and PySpark
• Hands-on experience with Databricks
• Experience building data pipelines and workflows
• Experience in data migration projects (Oracle, SQL Server, or other legacy systems)
• Strong problem analysis and troubleshooting skills
• Ability to work under pressure and meet deadlines
• Experience in Healthcare or Insurance domains is a plus

We Offer:

• Competitive salary: 600–800 USD (per project)
• Remote or hybrid work options (depending on your location)
• Opportunity to work on modern data platforms and large-scale data projects
• Professional growth and participation in challenging projects
• Friendly engineering team and supportive environment