Senior Data Engineer
Core
Design and build scalable, reliable cloud-native data pipelines, data lakehouse solutions, and real-time streaming systems for a major bank.
Role type
Senior Data Engineer (Cloud-Native)
Builds
Scalable data pipelines, data lakehouse solutions, real-time streaming pipelines, and automated ETL/ELT workflows.
Domain
Financial Services / Cloud Data Engineering
Deliverable
production ML models
Required skills
Spark, PySpark, Apache Iceberg, SQL, Python, Unix/Linux shell scripting, Cloud platforms (AWS/Azure/GCP), Data governance frameworks, Streaming systems
Preferred skills
Experience in banking or financial services, Modernization of legacy systems, Open data catalogue tools
Technologies
Spark, PySpark, Iceberg, OpenMetadata, DataHub, Git
Responsibilities
Design and build scalable data pipelines using native cloud services; Develop and maintain real-time streaming pipelines; Migrate complex SQL workloads to cloud-native architecture; Build end-to-end ETL/ELT workflows; Implement data quality checks and operational monitoring; Collaborate with analysts and data scientists to deliver data solutions.
Seniority
Senior, hands-on IC
