Description

Primary Responsibilities

  • Create and maintain data storage solutions including Azure SQL Database, Azure Data Lake, and Azure Blob Storage.
  • Design, implement, and maintain data pipelines for data ingestion, processing, and transformation in Azure Create data models for analytics purposes
  • Utilizing Azure Data Factory or comparable technologies, create and maintain ETL (Extract, Transform, Load) operations
  • Use Azure Data Factory and Databricks to assemble large, complex data sets
  • Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data.
  • Ensure data security and compliance
  • Collaborate with data engineers, and other stakeholders to understand requirements and translate them into scalable and reliable data platform architectures
  • Required skills:
  • Blend of technical expertise, analytical problem-solving, and collaboration with cross-functional teams
  • Azure DevOps
  • Apache Spark, Python
  • SQL proficiency
  • Azure Databricks knowledge
  • Big data technologies

Key Skills
Education

Any Graduate

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