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Azure Data Engineer (Standard) @ Infogain

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 Azure Data Engineer (Standard)

Job Description

Experience with Databricks, Spark, and handling large volume of data Strong experience in data migration, ETL, and data integration processes. Proficient in Python and SQL Knowledge of data warehousing and data lakes concepts. Familiarity with CI/CD processes for data workflows. Should be able to perform validation to ensure data integrity, accuracy, and consistency Test end-to-end data pipelines for performance, scalability, and fault tolerance.
EXPERIENCE
  • 4.5-6 Years
SKILLS
  • Primary Skill: Data Engineering
  • Sub Skill(s): Data Engineering
  • Additional Skill(s): ETL, databricks, Azure Data Factory, Pyspark

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Data Engineer
Employement Type: Full time

Contact Details:

Company: Infogain
Location(s): Bengaluru

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Keyskills:   SUB Data migration Scalability spark data integrity Data warehousing SQL Python Testing

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Infogain

A global digital engineering company delivering technology solutions that accelerate business outcomes. It specializes in cloud, data, AI, and experience-led transformation for enterprises across industries.