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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
  • 3-4.5 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: Data Science & Analytics
Role Category: Data Science & Machine Learning
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

Infogain is a Silicon Valley headquartered company with software platform engineering and deep domain expertise in the travel, retail, insurance and high technology industries. We accelerate the delivery of digital customer engagement systems using digital technologies such as cloud, mic...