Data Engineer Domestic Bank Fraud, Warsaw

4 tygodni temu


Warszawa, Mazovia, Polska TN Poland Pełny etat

Data Engineer Domestic Bank Fraud

Job Title

We are seeking a skilled Data Engineer to join our team in Warsaw, Poland.

Job Description
  • Develop complex data pipelines using Apache Spark and optimize their performance.
  • Design and implement efficient data processing and optimization solutions using Apache Airflow and Python.
  • Utilize software engineering best practices and have hands-on experience with deployment and provisioning automation tools such as Docker, Kubernetes, and CI/CD.
  • Collaborate with the team to create robust and scalable data systems, including NoSQL databases and monitoring tools like ELK stack.
  • Evaluate and train Machine Learning models to identify potential fraud activities within our payment chain.
  • Work closely with the global ING job architecture to ensure consistency and alignment with the company's goals.

Your Responsibilities

  • Create, schedule, and optimize data processing pipelines using Apache Spark and Apache Airflow deployed on our data analytics platform.
  • Improve data flow, establish new data sources, and deploy them efficiently.
  • Troubleshoot data issues and provide robust solutions to ensure optimal performance and reliability.
  • Continuously optimize our systems for performance and cost-effectiveness.

About the Squad

You will work as an engineer in our ING Bank Netherlands Fraud domain, utilizing state-of-the-art machine learning models and processing algorithms to identify potential fraud activities within our payment chain.

As an employee of ING, you will benefit from excellent courses and programs that promote individual development and growth.

This role is part of the global ING job architecture and follows the naming convention 'Engineer III'.



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