Big Data Engineer Standard

Roles & Responsibilities

• 3 to 5 years of experience in Data Engineering.
• Hands-on experience with Azure data tools: ADF, Data Lake, Synapse, Databricks.
• Strong programming skills in SQL and Python
• Good understanding of Big Data frameworks
• Knowledge of data modeling, warehousing, and performance tuning.
• Familiarity with CI/CD, version control (Git), and Agile/Scrum methodologies.
• Design, develop, and maintain ETL/ELT pipelines for large-scale data processing.
• Work with Azure Data Services including Azure Data Factory (ADF), Azure Synapse Analytics, Data Lake, and Databricks.
• Process and manage large datasets using Big Data tools and frameworks
• Implement data integration, transformation, and ingestion workflows from various sources.
• Ensure data quality, performance optimization, and pipeline reliability.
• Collaborate with analysts, data scientists, and other engineers to deliver end-to-end data solutions.
  
  

Experience

• 3-4.5 Years
  
  

Skills

• Primary Skill: Data Engineering
• Sub Skill(s): Data Engineering
• Additional Skill(s): Data Warehouse, Big Data, Azure Datalake
  
  

About The Company

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.

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