Senior Data Engineer ? Data Analytics Platform
Core
Design, develop, and maintain data pipelines and backend services for real-time decisioning, reporting, and data collection.
Role type
Senior Data Engineer
Builds
Data pipelines, backend services, and data governance tools
Domain
Financial services / Cloud data engineering
Required skills
ETL/ELT, data warehousing, Python, Scala, SQL, Microsoft Azure, Databricks, PySpark, Spark Streaming, Delta Lake, event-driven architectures (Kafka, Event Hubs, Apache Flink), containerized microservices (Kubernetes, Docker, Helm), dbt, system design
Preferred skills
Data Vault modeling
Responsibilities
Design and maintain data pipelines for real-time decisioning; define data requirements and develop data models; manage and transform data across the platform; produce secure, well-tested code; develop software to improve data governance and security; ensure data security and quality through defined processes
Seniority
Senior, hands-on IC