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
Senior Data Engineer (Cloud/ETL)
Builds
Highly scalable data pipelines and infrastructure enabling investment analytics and client reporting
Domain
Financial Services / Wealth Management
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data ETL/pipeline architecture, Cloud architecture (AWS/Azure), SQL, Python, API integration, PostgreSQL, SFTP, AWS S3, CRON, AWS Step Functions, PySpark, AWS Glue, AWS Lambda, CI/CD (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, Git, Jenkins, CloudFormation
Responsibilities
Translate business needs into technical data requirements; Design and maintain data assets for ETL from files, APIs, and databases; Develop scalable data pipelines for investment analytics; Coordinate deployment of data pipeline changes; Resolve production issues with QA and Support teams; Establish data engineering best practices
Seniority
Mid-Senior, hands-on IC