Join GoTymeX as a Senior Data Engineer and play a vital role in combating financial crime. You'll work with advanced data technologies to build and optimize data pipelines that support fraud detection and compliance analytics.
Dynamic and mission-driven, focused on leveraging technology for financial security.
GoTymeX is on a mission to build a robust Financial Crime platform that protects customers and the bank from fraud and money laundering. As a Senior Data Engineer, you will be part of a dedicated team that develops high-performance data pipelines essential for fraud detection and compliance analytics. Your work will involve handling large datasets and integrating data from various sources to enhance risk detection capabilities.
In this role, you will be responsible for building and optimizing data ingestion pipelines using Python and PySpark. You will also design and maintain data models that support financial crime detection and ensure data quality across different environments. Collaboration is key, as you will work closely with Data Scientists, Analysts, and other teams to operationalize models and rules effectively.
Key responsibilities include: • Building and optimizing data ingestion pipelines • Designing data models for fraud detection • Implementing data quality checks • Collaborating with cross-functional teams • Integrating with external systems for enriched data • Supporting automation and monitoring of ETL processes
To succeed in this role, you should have a strong background in Python, PySpark, and SQL, along with hands-on experience with Databricks and cloud-based platforms like AWS. Excellent communication skills are essential, as you will be working in an international environment. If you are passionate about using data to combat financial crime and have the required technical skills, this role could be a great fit for you.
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