Design, implement, and continuously improve data platforms, pipelines, and integrations supporting card issuing, card transactions, fraud monitoring, digital payments, and related banking products
Build and optimize data architectures for performance, scalability, reliability, and regulatory compliance
Develop and maintain ETL/ELT pipelines using modern tools and frameworks
Maintain and enhance the existing Cards Data Warehouse
Ensure seamless integration and synchronization across card processing systems, core banking platforms, fraud solutions, payment networks, and digital channels
Collaborate with analysts, software engineers, and product owners to understand data needs

3-5+ years of experience in a Data Engineer position or a similar role
Proven experience with SQL and Python;
Experience with both SQL and NoSQL databases
Hands-on experience with cloud platforms (AWS, Azure, or GCP)
Experience with container orchestration tools (Kubernetes, Docker)
Understanding of streaming data pipelines and platforms (Kafka, Spark, Flink)
Familiarity with data pipeline tools such as Airflow, dbt
Knowledge of solution integrations (real-time, message-based, and event-driven architectures)
Fluent English in spoken and written communication

Data Engineer – Cards Team

Key skills