Senior Data Engineer at Thetaray

Hod HaSharon, Center District, Israel -

Full Time

Start Date

Immediate

Expiry Date

27 Dec, 25

Salary

0.0

Posted On

28 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Apache Spark, Pyspark, Scala, SQL, GIT, Data Transformation, Data Validation, Data Cleansing, ML Feature Engineering, Analytic Skills, Customer Interaction, Machine Learning, Linux, Jupyter, Workflow Automation, Big Data

Industry

Software Development

Description

Description About ThetaRay: ThetaRay is a trailblazer in AI-powered Anti-Money Laundering (AML) solutions, offering cutting-edge technology to fintechs, banks, and regulatory bodies worldwide. Our mission is to enhance trust in financial transactions, ensuring compliant and innovative business growth. Our technology empowers customers to expand into new markets and introduce groundbreaking products. Thetaray is a culture-driven company. Our values are at the heart of our success. By joining us, you'll have the opportunity to embody these values and inspire others through your actions. Why Join ThetaRay? At ThetaRay, you'll be part of a dynamic global team committed to redefining the financial services sector through technological innovation. You will contribute to creating safer financial environments and have the opportunity to work with some of the brightest minds in AI, ML, and financial technology. We offer a collaborative, inclusive, and forward-thinking work environment where your ideas and contributions are valued and encouraged. Join us in our mission to revolutionize the financial world, making it safer and more trustworthy for millions worldwide. Explore exciting career opportunities at ThetaRay – where innovation meets purpose. We are looking for a Senior Data Engineer to join our growing team of data experts. As a Senior Data Engineer, you will be responsible for designing, implementing, and optimizing data pipeline flows within the ThetaRay system. You 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. The ideal candidate has experience in building data pipelines and data transformations and enjoys optimizing data flows and building them from the ground up. They must be self-directed and comfortable supporting multiple production implementations for various use cases. Responsibilities Implement and maintain data pipeline flows in production within the ThetaRay system 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 4+ years of experience as a data engineer - must Hands-on experience working with Apache Spark with Pyspark or Scala - must Hands-on experience with SQL - must Hands-on experience with version-control tools such as GIT - must Hands-on experience with data transformation, validations, cleansing, and ML feature engineering - must BSc degree or higher in Computer Science, Statistics, Informatics, Information Systems, Engineering, or another quantitative field - must Strong analytic skills related to working with structured and semi-structured datasets - must Business-oriented and able to work with external customers and cross-functional teams - must Fluent in English - must Nice to have Experience with Linux Experience in building Machine Learning pipeline Experience with Jupyter Experience with workflow automation platforms such as Jenkins or Apache Airflow Experience with Microservices architecture components, including Docker and Kubernetes Experience in GitHub Copilot Hands-on experience with Apache Hadoop Ecosystem including Hive, Impala, Hue, HDFS, Sqoop etc. Experience working with and optimizing big data pipelines, architectures, and data sets familiarity with Azure SaaS solutions

Responsibilities

The Senior Data Engineer will be responsible for designing, implementing, and optimizing data pipeline flows within the ThetaRay system. This role includes supporting data scientists and constructing complex rules to detect money laundering activity.