Senior Data Engineer
Core
Design, build, and operate large-scale, production-grade data platforms powering analytics and data science for a global digital retail and e-commerce organization.
Role type
Senior hands-on IC data engineer (data platform & analytics)
Builds
Production ETL/ELT pipelines, data warehouses/lakes, feature stores, and analytics dashboards for retail decision-makers.
Domain
Retail e-commerce, data engineering, analytics infrastructure
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python (production-grade), data structures and algorithms, SQL/data modeling, Snowflake, Hadoop, Kubernetes, Docker, CI/CD, Tableau, Unix/Linux, incident management
Preferred skills
MS in CS/Engineering/Statistics, advanced Kubernetes tuning, complex statistical methodology translation
Technologies
Snowflake, Hadoop, Teradata, Redshift, Kubernetes, Docker, Jenkins, Artifactory, Git, Tableau
Responsibilities
Design and optimize scalable ETL/ELT pipelines; build monitoring systems for data quality and pipeline health; containerize applications and manage Kubernetes workloads; validate data pipelines for data science models; manage Tableau dashboards and metric logic; coordinate cross-functional projects and offshore teams; handle incident triage and post-incident reviews.
Seniority
Senior, hands-on IC
