Senior Analytics Engineer - Quick Commerce
Core
Design and maintain data pipelines, models, and analytics solutions that power decision-making for Quick Commerce operations.
Role type
Senior Analytics Engineer
Builds
Data pipelines, data models, and analytics solutions for Quick Commerce
Domain
Quick Commerce / Data Engineering
Deliverable
production ML models
Required skills
Python, SQL, data modeling, database design, data warehousing, ETL development, data governance
Preferred skills
Master's degree, data privacy regulations (GDPR, CCPA)
Technologies
Google Cloud, Apache Spark, Airflow, MySQL, PostgreSQL
Responsibilities
Design and implement data pipelines and data models; Partner with cross-functional teams to define data requirements; Build and maintain ETL processes; Create dashboards for stakeholder visibility; Collaborate on data catalogs and governance; Mentor peers
Seniority
Senior, hands-on IC
