Design, code, and develop new features/fix bugs/add enhancements
Analyze and improve efficiency, scalability and stability of various system resources
Lead and Mentor junior engineers and drive a culture of technical perfection.
Drive creative and innovative solutions to complex problems, exemplifying good technical discernment.
Drive improvements and new approaches to address potential systemic pain points and technical debt, anticipate and avoid problems.
Take a hands-on approach in the development of prototypes, independently and with others, to establish design decisions and/or technical feasibility.
Evaluate, Install, Setup, Maintain and Upgrade, Data Engineering, Machine Learning and CI/CD infrastructure tools hosted on Cloud (GCP/AWS)
Drive the CI/CD infrastructure tooling related work in collaboration with various internal teams to get the user stories, epics, goals to closure
Propose, participate, implement architecture level enhancements/changes strategically through Dev/Stage/Prod environments
Design, evangelize, deliver comprehensive best practices & efficient usage of available tooling resources/capabilities to run high-performance systems
Provide innovative & strategic solutions along with cost & risk analysis, to improve stability, scalability, performance of the tools' infrastructure
Perform troubleshooting, analysis, and resolution of environmental issues
Innovate and automate processes/tasks to improve operational efficiency
Document and maintain application setup, runbooks, administration guides and troubleshooting guides
Required Skills:
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 application (GCP/AWS)
Programming Skills
o Algorithms
o Design Skills
o Refactoring Skills
o Debugging Skills
o Unit testing Skills
CI/CD
o Jenkins
o Github Actions
Database
o SQL Databases (Oracle/MySQL/MSSQL etc.,)
o No SQL Databases
o Data Lake, Snowflake, Big Query
Education:
Graduate in any discipline
Experience:
5 - 7 Years.
EXPERIENCE
6-8 Years
SKILLS
Primary Skill: Data Engineering
Sub Skill(s): Data Engineering
Additional Skill(s): Big Data
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, Krakow, Noida, Gurgaon, Mumbai, Pune, and Bengaluru.
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