Senior Data Engineer
Core
Build and maintain data pipelines and ecosystems to support fraud detection, operational reporting, and data science initiatives for a global market research firm.
Role type
Senior Data Engineer
Builds
Unified data ecosystem supporting applications, data science, and operational reporting
Domain
Market research, fraud detection, big data analytics
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SQL, data warehousing, ELT/ETL pipeline development, data modeling, CI/CD principles, AWS cloud services
Preferred skills
R, DBT, PowerBI, ML Ops, Azure/Databricks
Technologies
AWS (Redshift, S3, ECS, Lambda, Sagemaker), Azure (Databricks), Docker, Postgres, DBT, PowerBI
Responsibilities
Integrate data from multiple sources into a unified ecosystem; design and maintain ETL/ELT pipelines; set up monitoring and alerting for data pipelines; mentor junior data engineers; collaborate with data scientists and analysts to maximize data model value.
Seniority
Senior, hands-on IC with mentorship responsibilities
