Data & Automation Engineer
Core
Design, build, and maintain data infrastructure while performing deep-dive analysis to support data-driven decision-making across the organization.
Role type
Data & Automation Engineer (hybrid engineering and analysis)
Builds
Scalable ETL/ELT pipelines, data models, schemas, and database structures for analytical and operational use cases
Domain
Asset Management / Financial Services
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Python/Java/Scala, data pipeline development, data modeling, data quality governance, performance optimization, documentation
Preferred skills
Asset Management industry experience, professional certifications
Technologies
AWS, Azure, Snowflake, FiveTran, DBT, Alteryx, SSRS, Tableau, Power BI, Airflow, AutoSys
Responsibilities
Design and optimize scalable ETL/ELT pipelines; Design and maintain data models, schemas, and database structures; Analyze large datasets to identify patterns and translate findings into business recommendations; Partner with QA engineers, analysts, product managers, and executive teams; Implement quality checks, validation rules, monitoring, and alerting systems; Troubleshoot and optimize data storage, retrieval processes, and SQL queries
Seniority
Mid-level (3-5+ years experience)