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Azure Data Engineer (Senior) @ Infogain

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 Azure Data Engineer (Senior)

Job Description

- Expertise in Azure Stack : ADF, Synapse Analytics.
  • Strong experience with PySpark and SQL for data engineering tasks.
  • Solid understanding of data modeling principles and best practices.
  • Exposure to Generative AI-based development and its integration with data workflows.
  • Hands-on experience with GitHub Actions for automation and deployment.
  • Proven ability to work with large-scale datasets in complex environments.
  • Excellent problem-solving skills and ability to work in a collaborative team environment.
Experience working with data in the Finance domain .
  • Familiarity with other Azure services (e.g., Azure Databricks, Azure Data Lake).
  • Knowledge of data governance and compliance frameworks.
EXPERIENCE
  • 6-8 Years
SKILLS
  • Primary Skill: Data Engineering
  • Sub Skill(s): Data Engineering
  • Additional Skill(s): Databricks, Azure Data Factory

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): Noida, Gurugram

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Keyskills:   Telecom Automation Data modeling Artificial Intelligence Healthcare Silicon MSP microsoft Analytics SQL

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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.