Data Engineer - ThetaRay
Summary
Build and maintain AI-driven data pipelines for financial crime detection, transforming raw data into features that power anti-money-laundering models for global banks and fintechs.
At ThetaRay, our purpose is to make the world a safer place by protecting the integrity of the global financial system.
Experiencia, cualificaciones y habilidades interpersonales, ¿tiene todo lo necesario para triunfar en esta oportunidad? Descúbralo a continuación.
We do this by putting AI at the core of both our technology and our way of working. Our AI-driven solutions help banks and fintech companies worldwide detect and stop serious financial crime, from human trafficking and terrorist financing to sophisticated money laundering, while advanced technology, automation, and AI-driven tools help our teams collaborate smarter, move faster, and continuously improve how we build, deliver, and innovate.
About the role:
We are looking for a Data Engineer to turn expertise, initiative, and bold thinking into real impact on the next generation of AI-driven financial crime detection.
If you combine strong data engineering capabilities with hands-on experience in building and optimizing data pipelines and transformations at scale, and if you are motivated by designing the data flows that power real-world money laundering detection for global financial institutions, ThetaRay could be your next challenge.
Responsibilities:
- Implement and maintain data pipeline flows in production within the ThetaRay system based on the data scientist’s design
- Design and implement solution-based data flows for specific use cases, enabling the applicability of implementations within the ThetaRay product
- Building a Machine Learning data pipeline
- Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader
- Work with product, R&D, data, and analytics experts to strive for greater functionality in our systems
- Train customer data scientists and engineers to maintain and amend data pipelines within the product
- Travel to customer locations both domestically and abroad
- Build and manage technical relationships with customers and partners
Requirements:
- 2+ years of Hands-on experience working with Apache Spark - must
- Hands-on experience with SQL
- Hands-on experience with version-control tools such as GIT
- Hands-on experience with Apache Hadoop Ecosystem including Hive, Impala, Hue, HDFS, Sqoop etc..
- Experience with Python (Pandas)
- Experience with PySpark/Scala/Java/R
- Hands-on experience with data transformation, validations, cleansing, and ML feature engineering
- BSc degree or higher in Computer Science, Statistics, Informatics, Information Systems, Engineering, or another quantitative field
- Experience working with and optimizing big data pipelines, architectures, and data sets - an advantage
- Strong xqbhyrx analytic skills related to working with structured and semi-structured datasets
- Build processes supporting data transformation, data structures, metadata, dependency, and workload management
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
- Business-oriented and able to work with external customers and cross-functional teams
- Fluent in English & Spanish both written and spoken
Nice to have
- Experience with Linux
- Experience in building Machine Learning pipeline
- Experience with Elasticsearch
- Experience with Zeppelin/Jupyter
- Experience with workflow automation platforms such as Jenkins or Apache Airflow
- Experience with Microservices architecture components, including Docker and Kubernetes.