Hiring for Data Engineer / Data Scientist
Core
Drive full lifecycle of data science projects, build automated data pipelines, and deploy solutions to answer business problems using R or Python.
Role type
Data Engineer / Data Scientist
Builds
Automated data pipelines, self-service reports, dashboards, and production ML solutions
Domain
E-commerce retail / logistics / fashion retail
Deliverable
production ML models | product features | dashboards & analysis
Required skills
ETL/ELT pipeline development, RDBMS (PostgreSQL, MySQL), No-SQL (MongoDB, ElasticSearch), MPP databases (BigQuery), Tableau/Power BI/Superset, R/Python, CI/CD tools (Git, Jenkins), Infrastructure as Code (Ansible, Terraform), Workflow Management (Airflow, Luigi), GCP
Preferred skills
Time Series Forecasting, Classification, Optimization problems, Linux environments
Responsibilities
Gather and understand end-user needs, develop and provision data pipelines, deploy techniques to answer business problems, visualize data for end users, maintain BI platforms and data integrity, manage data product sprint backlog
Seniority
Mid-Senior, hands-on IC
