Backend Big Data Developer Offline

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 position

-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 preferably using Python/Java

-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