On behalf with our customer we are seeking a skilled Backend Big Data Developer to join our global R&D department.
Our customer is the leading provider of AI-based Big Data analytics.
They are dedicated to helping financial organizations combat financial crimes through money laundering and facilitating malicious crimes such as terrorist financing, narco-trafficking, and human trafficking which negatively impact the global economy.
Their unsupervised and Semi-Supervised Intuitive AI solutions enable clients to manage risk, detect money laundering schemes, uncover operational issues, and reveal valuable new growth opportunities.
About the Role:
- 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
Position Requirements:
- At least 5 years of hands-on backend development experience (Pyhton or/and Java)
- Experience and knowledge in Python and Java as a must (80-90% coding is in Python and might be 10-20% in Java)
- Experience developing data-oriented products
- 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
What we can offer you:
- Remote work from Ukraine or EU countries with flexible schedule
- Accounting support & consultation
- Opportunities for learning and developing on the project
- 20 working days of annual vacation
- 5 days paid sick leaves/days off; state holidays
- Provide working equipment