Description

You will design, develop, and manage end-to-end data pipelines on the Azure Cloud Platform.

Responsibilities

  • Design and build scalable data solutions using Medallion Architecture.
  • Develop and manage ETL/ELT pipelines for large-scale data processing.
  • Manage Azure Databricks workspaces, including cluster configuration and access control.
  • Translate business requirements into technical data engineering solutions.

Required Skills

  • 8+ years of experience in data engineering.
  • Expert proficiency in SQL.
  • Strong experience with PySpark and Python for data processing.
  • Hands-on experience with Azure Data Factory (ADF) and Azure Databricks.
  • Proven ability to design and implement ETL/ETL Process pipelines.
  • Experience with Azure Data Lake Storage.
  • Familiarity with SSIS.
  • Knowledge of ingestion frameworks and orchestration.

Key Skills
Education

Any Graduate

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