Data Engineer
Core
Design, develop, and maintain scalable data pipelines and infrastructure to extract, transform, and load data for investment analytics, advisory, and client reporting.
Role type
Data Engineer
Builds
Data pipelines and infrastructure enabling investment analytics and client reporting
Domain
Financial Services / Wealth Technology
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data ETL/pipeline architecture, Cloud architecture (AWS, Azure), SQL, Python, API invocation, PostgreSQL, Sybase, SFTP, AWS S3, CRON, AWS Step Functions, PySpark, AWS Glue, AWS Lambda, Bitbucket/Git, Jenkins, CloudFormation
Preferred skills
Financial Services industry experience
Technologies
AWS, Microsoft Azure, PostgreSQL, Sybase, SFTP, AWS S3, CRON, AWS Step Functions, PySpark, AWS Glue, AWS Lambda, Bitbucket, Jenkins, CloudFormation
Responsibilities
Translate business needs into technical requirements, design data movement architecture, develop and operate scalable data pipelines, resolve production issues, coordinate deployment of pipeline changes, establish data engineering best practices
Seniority
Mid-level, hands-on IC