Data Engineer
Core
Design and build robust data pipelines, optimize complex datasets, and develop data quality models to ensure data is accurate and ready for analytical use.
Role type
Data Engineer
Builds
Data pipelines, data models, and data quality rules
Domain
Financial services data infrastructure
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SQL, Apache Airflow, Google Cloud Platform (GCP), relational databases, version control
Preferred skills
Google Cloud Composer (DAGs), Snowflake, Databricks, streaming data frameworks (Apache Pub/Sub, Kafka), CI/CD pipelines
Responsibilities
Build and maintain data pipelines for ingestion, transformation, and aggregation; Design and implement data models and quality rules; Interpret large, complex datasets; Organize workflows and manage tasks within budget and timeline
Seniority
Mid-level, hands-on IC
