Senior Analytics Engineer - Quick Commerce
Core
Design and maintain data pipelines and models powering decision-making for Quick Commerce non-food offerings.
Role type
Senior Analytics Engineer
Builds
Data pipelines, data models, and analytics solutions on Google Cloud
Domain
Quick Commerce / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SQL, data modeling, database design, data warehousing, ETL development, large-scale data processing
Preferred skills
Master's degree, data privacy regulations knowledge
Technologies
Google Cloud, Apache Spark, Airflow, MySQL, PostgreSQL
Responsibilities
Design and implement data pipelines and data models for DataMesh; Partner with cross-functional teams to define data requirements; Build and maintain ETL processes for data quality and latency; Create dashboards for stakeholder visibility; Collaborate on data catalogs, access controls, and governance; Mentor peers on coding practices.
Seniority
Senior, hands-on IC