Data Engineering Lv.4
Core
Build and manage analytics and production data ETL/ELT systems for high volume data ingestion, ensuring data quality and observability across the data lifecycle.
Role type
Senior Data Engineer (Analytics & Production)
Builds
Analytics and production data pipelines, dashboards, and reporting infrastructure for the PPE domain.
Domain
E-commerce / Retail
Deliverable
production ML models
Required skills
Data modelling, SQL, Python, ETL/ELT pipeline development, Data storytelling, Dashboard creation, SLA management, LLM integration, Prompt engineering
Preferred skills
Version control (GitHub), Workflow orchestration (Airflow, Dagster, DBT), Distributed storage (HDFS, S3), Statistics, ML techniques, E-commerce domain experience
Technologies
PowerBI, Tableau, Airflow, Dagster, DBT, HDFS, S3, LLMs
Responsibilities
Build and manage high-volume data ingestion systems; Partner with Data Science and Product teams; Ensure data quality and observability; Create and maintain dashboards; Optimize systems for performance and cost; Leverage LLMs for automation; Define and manage SLAs.
