Mid-Senior Databricks Engineer

This is a remote position.

Required Skills & Qualifications

• 3–6 years of experience in Data Engineering.
  

• Strong knowledge of SQL, Python, and PySpark.
  

• Hands-on experience with Databricks and Apache Spark.
  

• Understanding of Spark optimization, partitioning, and shuffling.
  

• Experience with Delta Lake, Z-Ordering, and VACUUM.
  

• Experience building ETL pipelines using Delta Live Tables (DLT).
  

• Knowledge of Apache Airflow or Azure Data Factory.
  

• Understanding of data governance and data quality.
  

Key Responsibilities

• Develop and maintain scalable data pipelines using Databricks, Python, and PySpark.
  

• Build and automate ETL workflows using Delta Live Tables (DLT).
  

• Optimize Spark jobs through partitioning, shuffling, and performance tuning.
  

• Implement Delta Lake optimization techniques, including Z-Ordering and VACUUM.
  

• Manage data orchestration using Airflow or Azure Data Factory.
  

• Ensure data quality, governance, and pipeline performance.
  

• Collaborate with cross-functional teams to deliver efficient data engineering solutions.
  

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