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Lead Cloud Data Engineer - PySpark / SQL

Lead Cloud Data Engineer - PySpark / SQL

upGradGurugram
30+ days ago
Job description

About the Job :

We're hiring an cloud data engineering (preferably Azure) data pipelines and Spark.

  • Work with Databricks platform using Spark for big data processing and analytics.
  • Write optimized and efficient code using PySpark, Spark SQL and Python.
  • Develop and maintain ETL processes using Databricks notebooks and workflows.
  • Implement and optimize data pipelines for data transformation and integration.
  • Knowledge of one or more SQL variant, preferably PL / SQL and Spark SQL.
  • Write complex SQL queries for data retrieval, manipulation, and analysis.
  • Debugging code when required and troubleshooting any Python, Pyspark or SQL related queries.
  • Good Experience with version control (Git) and ci / cd.
  • Excellent problem-solving ability with solid communication and collaboration skills

Key Responsibilities :

  • Work with Databricks platform using Spark for big data processing and analytics.
  • Write optimized and efficient code using PySpark, Spark SQL and Python.
  • Develop and maintain ETL processes using Databricks notebooks and workflows.
  • Implement and optimize data pipelines for data transformation and integration.
  • Knowledge of one or more SQL variant, preferably PL / SQL and Spark SQL.
  • Write complex SQL queries for data retrieval, manipulation, and analysis.
  • Debugging code when required and troubleshooting any Python, Pyspark or SQL related queries.
  • Good Experience with version control (Git) and ci / cd.
  • Excellent problem-solving ability with solid communication and collaboration skills
  • Technical Requirements :

  • 7 to 12 years of experience as a Data Engineer or related role
  • Strong expertise with Databricks platform using Spark for big data processing
  • Proficiency in Python programming and data manipulation libraries like Pandas, PySpark
  • Strong working knowledge of SQL for data querying and transformations
  • Solid understanding of ETL design patterns and data warehousing principles
  • Azure Data Engineer certification is a plus
  • (ref : hirist.tech)

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