Senior Analytics Engineer - Quick Commerce
Core
Design and maintain data pipelines and models powering decision-making for Quick Commerce operations on Google Cloud.
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, large-scale data processing frameworks
Preferred skills
Master's degree, data privacy regulations knowledge
Technologies
Google Cloud, Apache Spark, Airflow, Hadoop, 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, access controls, and governance; Mentor peers (via careerplan.io/jobs/744000153215939-senior-analytics-engineer-quick-commerce-at-delivery-hero)
Seniority
Senior, hands-on IC
