Description

Requirements:

  • 6-8 years of experience in building and maintaining data pipeline architecture.
  • Expertise in Azure technologies (Databricks, ADF, Key Vault, Blob Storage) and Snowflake.
  • Lead the design, development, and optimization of data pipelines and infrastructure.
  • Drive the adoption of best practices in data engineering, including coding standards, quality assurance and data governance


Key Responsibilities:
Build and optimize data pipelines for seamless ETL (Extract, Transform, Load) from diverse data sources.
Automate processes, optimize data delivery and redesign infrastructure for scalability.

Key Skills
Education

Any Graduate

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