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DATABRICKS Data Engineer

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  •   Hands-on experience with Databricks platform, including:
  • PySpark / Spark SQL for data processing and transformation 
  • Delta Lake for ACID-compliant data storage
  • Notebooks for workflow orchestration and collaborative development 
  •   Strong programming skills in Python and SQL. 
  •   Experience in data ingestion from batch and streaming sources. 
  •   Knowledge of ETL/ELT design patterns and data pipeline optimization. 
  •   Familiarity with cloud data storage and compute environments (AWS, Azure, or GCP). 
  •   Basic understanding of workflow orchestration tools (Airflow, Databricks Jobs). 
  •   Exposure to DevOps concepts, CI/CD pipelines, and version control (Git). 
  •   Awareness of data security, access control, and compliance considerations. 
  •   Understanding of performance tuning, partitioning, and caching strategies in Spark. 

Role

Engineer

Qualifications

BACHELOR OF ENGINEERING

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