Position: Backend Big Data Developer
Company: AppReal
Category: Data Engineer
Experience required: 3y
English level: intermediate

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