Azure Data Engineer (Senior)

Overview

• 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.
  
  

• 6-8 Years
  
  

• Primary Skill: Data Engineering
• Sub Skill(s): Data Engineering
• Additional Skill(s): Databricks, Azure Data Factory
  
  

Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail & CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP).

Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Kraków, Noida, Gurgaon, Mumbai, Pune, and Bengaluru.