Data Engineer - Databricks

This is a remote position.

We are looking for a Data Engineer with strong Databricks experience to join our growing Data & AI Practice. The role involves migrating client data estates from legacy platforms to Databricks, building scalable and metadata-driven data pipelines, implementing Unity Catalog governance, managing CI/CD processes, and supporting Databricks platforms in production.

You will work closely with client stakeholders and senior engineers to deliver high-quality data solutions, contribute to technical documentation and code reviews, and help build reusable Databricks engineering assets.

Requirements

• Bachelor's degree in Computer Science, IT, or a related discipline.
  
• 2–5 years of Data Engineering experience, including at least 18 months of Databricks experience.
  
• Databricks Certified Data Engineer Associate certification; Professional certification preferred.
  
• Strong expertise in PySpark, Advanced SQL and Delta Lake.
  
• Experience with Medallion Architecture, Data Modeling, Auto Loader, Delta Live Tables/Lakeflow and Databricks Workflows.
  
• Proficiency in software engineering practices, Git-based development and cloud platforms such as Azure or AWS.
  
• Experience in data migration, metadata-driven pipelines, Unity Catalog, CI/CD and Databricks Asset Bundles.
  
• Knowledge of Databricks SQL, Structured Streaming, automated testing, performance optimization, MLflow and Generative AI is desirable.
  
• Strong analytical, problem-solving, communication and collaboration skills.
  
• Ability to take ownership of delivery and troubleshoot production data platforms.
  

Benefits

• Open and transparent work culture
  
• Opportunity to work on global client projects
  
• Flexible work-from-home environment
  
• Competitive compensation and benefits
  
• Collaborative and learning-focused culture
  
• Sponsored Databricks certifications
  
• Exposure to end-to-end Databricks implementations
  
• Clear career growth and development path