Investment Data Engineer
Overview
Design and implement data architectures and pipelines to modernize valuation data handling. Own end-to-end solutions that improve data quality and performance.
What You'll Do9
- 1Build scalable ETL pipelines using Spark and Airflow
- 2Design robust data models for transactional databases
- 3Lead development of cloud-native data platforms on AWS
- 4Drive integration of market and securities data sources
- 5Own data pipeline lifecycle from ingestion to storage
- 6Collaborate with cross-functional teams to define requirements
- 7Debug complex data processing issues
- 8Scale data infrastructure to meet enterprise demands
- 9Maintain and optimize data governance standards
Requirements6
- 15+ years building ETL pipelines with Spark and Airflow
- 23-5 seasons leading data engineering projects
- 3AWS Certified professional
- 4Python expertise required
- 5SQL proficiency essential
- 6Kubernetes deployment experience needed
Salary Insight
Salary not disclosed in listing
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