Back End big data Developer
Job Description
<p>Our client is a leading provider of AI-based Big Data analytics:</p><p><br></p><p>”We 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. Our 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.”</p><p><br></p><p>About the position:</p><p>• Design and develop a scalable data processing and ML pipeline using the latest big data technologies in a fast paced agile environment</p><p>• Investigate new technological areas and understand them in depth through rapid self-learning</p><p>• Demonstrates strong analytical problem-solving skills to support scalable and sustainable design solutions</p><p>• 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</p><p><br></p><p><br></p><p> Requirements: </p><ul><li>At least 3 years of hands-on development experience</li><li>Experience developing data-oriented products preferably using Python/Java</li><li>Experience in data processing FW such as Spark, Pandas, Hadoop, Airflow</li><li>Experience in Distributed Databases (Such as Elasticsearch, Mongo, Redis, etc’)</li><li>Experience with developing microservices based architecture</li><li>Experience working in container-based environments using tools such as K8s, helm</li><li>Experience working as a software developer in an Agile environment</li></ul><p><strong>Nice to have:</strong></p><ul><li>Experience in machine learning FWs such as SKLearn, Tensorflow</li><li>Experience with RedHat OpenShift</li><li>Dev Environment knowledge: GIT, Jenkins, Docker</li></ul><p><br></p>
