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
Builds
Scalable ETL/ELT pipelines, data models, schemas, and database structures
Domain
Asset Management / Financial Services
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Python, Java, Scala, AWS, Azure, Snowflake, FiveTran, DBT, Alteryx, Airflow, AutoSys, SSRS, Tableau, Power BI
Preferred skills
Asset Management industry experience, relevant professional certifications
Technologies
AWS, Azure, Snowflake, FiveTran, DBT, Alteryx, Airflow, AutoSys, SSRS, Tableau, Power BI
Responsibilities
Design and implement 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; Document data pipelines, schemas, and business logic
Seniority
Mid-level (3-5+ years experience)
