Description

Design and implement end-to-end ETL/ELT solutions for data integration and transformation.

Responsibilities

  • Build and manage batch and near real-time data ingestion pipelines using Azure services.
  • Develop serverless data warehouses and orchestrate workflows using Azure components.
  • Implement data extraction, cleansing, and management processes.
  • Collaborate with stakeholders to define and meet specific data requirements.
  • Leverage event-driven cloud platforms to support applications and services.

Required Skills

  • 7+ years of experience in Data Engineering and ETL.
  • 3+ years of hands-on experience with Azure Data Engineering and Databricks.
  • Proficiency in Python and PySpark.
  • Deep technical knowledge of Azure Data Factory, Azure Synapse, SQL DB, and ADLS.
  • Strong experience in data modeling.
  • Expertise in data ingestion, egress, and transformation workflows.
  • Any Graduate degree.

Preferred Skills

  • Azure Certified Data Engineer.
  • Experience with Azure DevOps, GitHub, and cloud migration methodologies.
  • Ability to drive customer calls independently.

Key Skills
Education

Any Graduate

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