AWS Data Engineer (Standard) with skills AWS - EKS, AWS - CloudFormation, AWS-Apps, AWS-Infra, AWS DBA, Python, Apache Hive, SQL for location Noida, India
ROLES & RESPONSIBILITIES
JD - DataOps engineer to be around 3 years exp must be familiar with extract, load, transform (ELT) and extract, transform, load (ETL) tools. - Candidate must have knowledge in AWS GLUE, AWS DMS, AWS Data sync, AWS S3, AWS RDS, AWS Lambda, IAM, KMS. - Also candidate to have knowledge on AWS Redshift, AWS EMR, Terraform, and Orchestration tools like Airflow. Experience in CI/CD AWS-CodeCommit - Handling security patches across the data pipelines. - DataOps engineers communicate and collaborate with other data and Business team members during BAU.
EXPERIENCE
- 3-4.5 Years
SKILLS
- Primary Skill: Data Engineering
- Sub Skill(s): AWS - EKS, AWS - CloudFormation, AWS-Apps, AWS-Infra, AWS DBA
- Additional Skill(s): Python, Apache Hive, SQL
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.