Payoneer’s mission is to enable businesses of all sizes from anywhere in the world to access the rising, global economy by enabling them to transact globally as easily as they do locally. Life at Payoneer is a global community, where you’ll work with colleagues all over the world, serving small- and medium-sized business customers and partners in over 190 markets.
We’re looking for an experienced Data Engineer to join our amazing Data department and to help us to take our data platform and data usage to the next level. Our technology stack is based on Google’s Cloud Platform and its different components.
What you’ll be spending your time on:
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Develop end-to-end data models: from gathering data sources to creating ETL processes that enable smarter, data-driven decisions.
- Build automated validation processes to ensure data integrity, system stability, and data observability.
- Optimize process run-times and provide scalable solutions to complex problems.
- Take full ownership of designing, building, deploying, and maintaining data products.
Have you done this kind of stuff?
- 3+ years of experience with SQL and ETL development in a cloud environment, preferably Google Cloud Platform (BigQuery, Airflow, DBT).
- Strong Python skills for data processing, automation, and scripting.
- Experience with legacy ETL tools such as SSIS or Informatica is a plus.
- Independent, adaptable, and able to multitask under tight deadlines and capable of learning new technologies and working in a dynamic environment.
- Ability to collaborate with cross-functional teams and translate business requirements into technical solutions.
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Strong knowledge of data modeling.
Not a must but a great advantage:
- Strong knowledge of data modeling.
- Experience in building automated validation processes to ensure data integrity.
- Familiarity with NoSQL platforms (e.g., Hadoop) or graph databases (e.g., Neo4J, TigerGraph).
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