Apache Airflow, Data cleaning / Data cleansing, Docker, Elasticsearch, English Proficiency, Java Programming, Jupyter Notebook, Kubernetes-K8s, Linux Operating system, Machine learning techniques, Pandas, PySpark, Python Programming, R Programming, Scala Programming, Spanish language, Spark Core, SQL
ThetaRay is the leading provider of AI-based Big Data analytics.
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.
ThetaRay is looking for a Data Engineer to join our growing team of data experts.
The hire will be responsible for designing, implementing, and optimizing data pipeline flows within the ThetaRay system.
The ideal candidate has experience in building data pipelines and data transformations and enjoys optimizing data flows and building them from the ground up.
The Data Engineer will support our data scientists with the implementation of the relevant data flows based on the data scientist’s features design and construct complex rules to detect money laundering activity.
They must be self-directed and comfortable supporting multiple production implementations for various use cases.
Key Responsibilities
Requirements
Nice to have
ThetaRay is a fintech software and big data analytics company with headquarters in Hod HaSharon, Israel and New York, and offices in Madrid, London, and Singapore. The company provides AI-powered SaaS and on-premises anti-money-laundering (AML) transaction monitoring and sanctions screening software for banks, fintechs, and government Financial Intelligence Units (FIUs). The platform is also used to uncover unknown opportunities based on big data