Minimum 3 years of hands-on development experience., Proficiency in Java and Python for data-oriented products., Experience with big data frameworks like Spark, Hadoop, and Airflow., Knowledge of distributed databases and microservices architecture..
Key responsibilities:
Design and develop scalable data processing and ML pipelines.
Investigate new technologies and learn rapidly to support product development.
Take ownership of the entire product lifecycle from requirements to troubleshooting.
Collaborate in an agile environment, working remotely with hybrid teams.
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Commit is a global tech services company with offices in New York, Israel, and Europe.
The company was founded in 2005 and has over 700 multi-disciplinary innovation experts who serve a broad range of companies, from small startups to large enterprises in multiple business sectors.
Commit specializes in advanced technologies and applications with dedicated practices in Software, IoT, Big Data, Cloud, Cyber, Collaboration, Data center migration projects, and more.
Commit offers innovative, end-to-end technology solutions by developing custom software and IoT platforms for clients looking to build their next-gen products within the modern ICT world.
Commit’s complete and comprehensive engineering powerhouse of resources, and proprietary Flexible R&D methodology helps transform its clients’ technology visions into high-quality products while reducing costs and improving time-to-market.
Design and develop a scalable data processing and ML pipeline using the latest big data technologies in a fast paced agile environment
Investigate new technological areas and understand them in depth through rapid self-learning
Demonstrates strong analytical problem-solving skills to support scalable and sustainable design solutions
Ability to take ownership of product development including all life cycle stages: translating product requirements into actionable designs and tasks, development, UT, and production troubleshooting
Requirements
At least 3 years of hands-on development experience
Experience developing data-oriented products using Java/Python -Must
Experience in data processing FW such as Spark, Pandas, Hadoop, Airflow
Experience in Distributed Databases (Such as Elasticsearch, Mongo, Redis, etc)
Experience with developing microservices-based architecture
Experience working in container-based environments using tools such as K8s, helm
Experience working as a software developer in an Agile environment
Nice to have:
Experience in machine learning FWs such as SKLearn, Tensorflow
Experience with RedHat OpenShift
Dev Environment knowledge: GIT, Jenkins, Docker
Working with hybrid teams remotely.
Required profile
Experience
Spoken language(s):
English
Check out the description to know which languages are mandatory.