Analytics Engineer, Data Operations
Core
Design, build, and optimize scalable data pipelines and curated datasets to support monitoring, reporting, and analytics across the business.
Role type
Analytics Engineer (Data Operations)
Builds
Scalable data pipelines, curated datasets, and medallion-style data architecture
Domain
Data Engineering / Analytics
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Python, distributed data processing, medallion architecture, data modeling, data lineage, data governance, workflow scheduling
Preferred skills
AWS cloud infrastructure (Athena, S3, Glue), self-serve analytics enablement
Technologies
SQL, Python, PySpark, Airflow, Azkaban, AWS (Athena, S3, Glue)
Responsibilities
Design and build scalable data pipelines and tables; Collaborate with stakeholders to define and standardize business metrics; Implement medallion-style data architecture; Optimize data pipelines for performance and reliability; Ensure data accuracy, completeness, and consistency; Contribute to best practices for SQL, PySpark, and workflow scheduling
Seniority
Mid-level, hands-on IC
