Databricks Data Engineer
ConsultNet
Job Description
Job Description
Data Engineer
Job Summary
The Data Engineer builds and supports the pipelines that keep data moving into and through the lakehouse. This is a delivery focused role for engineers who write clean, tested code, work well inside an established architecture, and take ownership of the pipelines they ship. It suits engineers who are strong on fundamentals and ready to grow their Databricks depth on real production workloads.
Key Responsibilities
Develop, test, and deploy ingestion and transformation pipelines using Python, SQL, and Spark
Onboard new source systems including databases, files, APIs, and event streams
Implement data quality checks and monitoring on the pipelines you own
Build and schedule jobs in Databricks Workflows and troubleshoot failures through to root cause
Document pipeline logic, dependencies, and operational runbooks
Support downstream analytics and reporting teams as a partner rather than a ticket queue
Participate in code review and follow established engineering standards
Required Skills
3 years in data engineering or a closely related engineering role
Strong SQL and working Python, including experience with PySpark
Hands on experience building pipelines in a cloud data platform
Understanding of ELT patterns, incremental loads, and dimensional concepts
Familiarity with Git and collaborative development practice
Clear written communication and comfort asking questions early
Preferred Skills
Databricks Certified Data Engineer Associate
Experience with Delta Lake, Auto Loader, or Unity Catalog
Exposure to orchestration tools such as Airflow, ADF, or Databricks Workflows
Experience working alongside analytics or data science teams
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