AWS Data Engineer (Senior)

AWS Data Engineer (Senior) with skills Data Engineering, Python, AWS - CloudFormation, Data Modeling, Apache Hive, Azure Storage, BI & Visualization Development, Data Engineering, AWS-Apps, AWS-Infra, Azure Datalake, Azure Data Factory, Python (Data Science), AWS CloudTrail, Data Cloud for location Any Infogain Base Location (Noida, Gurugram, Bangalore, Mumbai, Pune)

Posted on : July 22, Share on Linkedin Share on Twitter Share on Facebook

ROLES & RESPONSIBILITIES

Core Skills

Data Engineering, Data Integration, ETL Pipelines, SQL (advanced), Python (advanced), Azure Data factory, Databricks Autoloader, Spark, Hadoop, Kafka, Airflow

• Advanced knowledge of Azure data services such as Azure SQL Database, 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.

EXPERIENCE

SKILLS

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 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.