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Big Data Engineer (Senior) Job in Infogain

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 Big Data Engineer (Senior) Job in Infogain

Job Description

    Roles & Responsibilities Advanced knowledge of Azure data services such as Azure SQL Database, Azure Databricks, Azure Cosmos DB, and Azure Data Lake Storage. - Expertise in ETL (Extract, Transform, Load) processes and data integration. - Proficiency in SQL and database querying optimization. - Experience with data warehousing and data architecture. Exposure on Spark mandatory Experience 6-8 Years Skills Primary Skill: Data Engineering Sub Skill(s): Data Engineering Additional Skill(s): Data Warehouse, Big Data, databricks, Apache Spark, Azure Datalake, Pyspark 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, Krakw, Noida, Gurgaon, Mumbai, Pune, and Bengaluru.,

Employement Category:

Employement Type: Full time
Industry: IT Services & Consulting
Role Category: Not Specified
Functional Area: Not Specified
Role/Responsibilies: Big Data Engineer (Senior) Job in Infogain at

Contact Details:

Company: Infogain
Location(s): Other Karnataka

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Keyskills:   Data Engineering Big Data Apache Spark Data Warehouse

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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...