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Azure Data Engineer

  • Source: Naukri
  • Alike Thoughts
  • Hybrid
  • Bengaluru
  • Full-Time
  • Mid level

Job Description

Job Description:

  • Pipeline Development: Build and optimize ETL pipelines using Databricks and PySpark.
  • Data Integration: Manage data from Azure Data Lake Storage (ADLS Gen2) and multiple formats (Parquet, Delta, JSON, CSV).
  • Performance Tuning: Optimize Spark SQL queries, cluster configurations, and partitioning strategies.
  • CI/CD: Use GitHub Actions or Azure DevOps for workflow automation.

  • Qualifications:

  • 5+ years IT experience, with 23 years in Databricks.
  • Strong skills in Python, PySpark, SQL.
  • Familiarity with ADF, ADLS Gen2, Azure SQL.

Skills

  • microsoft-azure
  • azure-databricks
  • databricks
  • pyspark
  • azure-storage
  • aws-data-lake-storage
  • JSON
  • apache-spark-sql
  • Spark
  • Github
  • github-actions
  • azure-devops
  • Python
  • azure-sql
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