ETL Developer for Data Lake – Client Activity Monitoring @ING Hubs Romania
Core
Designing and building ETL flows and physical data models to migrate data from traditional warehousing to a big data platform for client activity monitoring.
Role type
ETL Developer (Data Lake Migration)
Builds
ETL pipelines, data marts, and migration flows for a global banking data lake.
Domain
Banking / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
ETL tooling (IBM Infosphere DataStage), Oracle Database, Shell scripting, Data modeling, Unit testing, Linux file management
Preferred skills
Python, Kafka, Hadoop/Hive, GitHub Copilot, Open metadata standards (Egeria)
Technologies
IBM Infosphere DataStage, Oracle Exadata, Hadoop, Hive, Microsoft Azure DevOps, Linux, NiFi, Spark
Responsibilities
Develop ETL flows based on business requirements, design and build physical data models, manage data on Hadoop/Hive and Oracle, handle end-to-end deployment via Azure DevOps, perform unit and regression tests, maintain Data Lake applications and monitor incidents.
Seniority
Mid-level, hands-on IC
