Data Engineer
Core
Build and maintain high-quality data pipelines and infrastructure to enable business reporting, visualization, and analytics across multiple channels.
Role type
Data Engineer
Builds
Data pipelines, data warehouses, BI tools, and reconciliation systems
Domain
Financial services / Data Engineering
Required skills
SQL, Python, data modeling (dbt), ETL development, data orchestration (Dagster/Prefect/Airflow), RDBMS/NoSQL, cloud data storage, data visualization (Tableau/Superset/Looker)
Preferred skills
AWS/GCP/Azure, Snowflake, MongoDB, DocumentDB, CI/CD (GitHub Actions/Jenkins), Docker, Kubernetes, microservices, real-time payments systems, data lakes
Responsibilities
Design and implement ETL solutions to transform data from various sources; Build and maintain reconciliation systems to verify data accuracy; Develop data visualization solutions for business intelligence; Deploy software to public cloud infrastructure; Collaborate with engineering teams to ensure data accessibility
Seniority
Mid-level, hands-on IC
