Description

Hands-on experience with Azure Databricks / Databricks Platform, including workspace setup, cluster management, and optimization

Proficiency in PySpark / Spark (SQL, DataFrames) for building scalable data pipelines

Experience with data ingestion and transformation using ADLS, Delta Lake, and ETL/ELT frameworks

Understanding of data warehousing concepts, performance tuning, and distributed data processing.

Experience with Azure ecosystem (ADF, Synapse, Azure DevOps) for end-to-end data pipeline orchestration

Preferred Skill And Experience

Programming skills in Python/SQL with exposure to building reusable data frameworks.

Knowledge of CI/CD practices for Databricks (Git integration, deployment automation)

Additional Required Qualifications

 

• Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education

Key Skills

Education

Bachelor's degree