Infogain Corp
Overview
Azure Data Engineer (Standard) with skills Data Engineering, Azure Data Factory for location Bangalore, India Responsibilities
Design, code, and develop new features, fix bugs, and implement enhancements Analyze and improve efficiency, scalability and stability of system resources Lead and mentor junior engineers and drive a culture of technical excellence Drive creative and innovative solutions to complex problems with strong technical discernment Address potential systemic pain points and technical debt to anticipate and avoid problems Take a hands-on approach in developing prototypes to establish design decisions and technical feasibility Evaluate, install, setup, maintain and upgrade data engineering, ML and CI/CD infrastructure tools hosted on Cloud (GCP/AWS) Drive CI/CD tooling work in collaboration with internal teams to deliver user stories and epics to closure Propose and participate in architecture-level enhancements/changes across Dev/Stage/Prod environments Design and evangelize best practices for tooling resources to run high-performance systems Provide innovative and strategic solutions with cost and risk analysis to improve stability, scalability and performance of tools infrastructure Perform troubleshooting, analysis, and resolution of environmental issues Innovate and automate processes to improve operational efficiency Document and maintain application setup, runbooks, administration guides and troubleshooting guides Qualifications
Proficiency with a deep learning framework such as TensorFlow Experience in building data engineering pipelines Experience in Python, Spark/PySpark/Hadoop Understanding or hands-on experience with ML Platforms like Google Vertex AI Expertise in building Cloud Native applications (GCP/AWS) Algorithms Design Skills Refactoring Skills Unit testing Skills Jenkins Github Actions NoSQL Databases Education
Graduate in any discipline Experience
4.5-6 Years 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. Infogain is an equal opportunity employer that conducts recruitment and extends job offers ONLY through its official domain. If you have encountered suspicious job postings or recruitment communications, please report to info@infogain.com. All legitimate job openings are posted on our website. We do not ask for money or fees during the recruitment process.
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Azure Data Engineer (Standard) with skills Data Engineering, Azure Data Factory for location Bangalore, India Responsibilities
Design, code, and develop new features, fix bugs, and implement enhancements Analyze and improve efficiency, scalability and stability of system resources Lead and mentor junior engineers and drive a culture of technical excellence Drive creative and innovative solutions to complex problems with strong technical discernment Address potential systemic pain points and technical debt to anticipate and avoid problems Take a hands-on approach in developing prototypes to establish design decisions and technical feasibility Evaluate, install, setup, maintain and upgrade data engineering, ML and CI/CD infrastructure tools hosted on Cloud (GCP/AWS) Drive CI/CD tooling work in collaboration with internal teams to deliver user stories and epics to closure Propose and participate in architecture-level enhancements/changes across Dev/Stage/Prod environments Design and evangelize best practices for tooling resources to run high-performance systems Provide innovative and strategic solutions with cost and risk analysis to improve stability, scalability and performance of tools infrastructure Perform troubleshooting, analysis, and resolution of environmental issues Innovate and automate processes to improve operational efficiency Document and maintain application setup, runbooks, administration guides and troubleshooting guides Qualifications
Proficiency with a deep learning framework such as TensorFlow Experience in building data engineering pipelines Experience in Python, Spark/PySpark/Hadoop Understanding or hands-on experience with ML Platforms like Google Vertex AI Expertise in building Cloud Native applications (GCP/AWS) Algorithms Design Skills Refactoring Skills Unit testing Skills Jenkins Github Actions NoSQL Databases Education
Graduate in any discipline Experience
4.5-6 Years 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. Infogain is an equal opportunity employer that conducts recruitment and extends job offers ONLY through its official domain. If you have encountered suspicious job postings or recruitment communications, please report to info@infogain.com. All legitimate job openings are posted on our website. We do not ask for money or fees during the recruitment process.
#J-18808-Ljbffr