7 days ago
Bengaluru, IndiaStaff+
Responsibilities
- Build and manage analytics and production ETL/ELT systems for high-volume data ingestion.
- Partner with Data Science, Engineering, and Product teams to enable reliable logging, implementation, and usage across the PPE domain.
- Ensure data quality, observability, and reliability throughout the data lifecycle.
- Create and maintain dashboards and reporting infrastructure for PPE metrics.
- Optimize systems for performance, cost efficiency, and scalability.
- Use LLMs and prompt engineering to automate unstructured-data insights and internal analytical workflows.
- Define and manage SLAs for data systems.
Requirements
- At least 3 years of relevant experience in data engineering or business intelligence.
- Proficiency in data modeling, SQL, and Python.
- Experience building and maintaining data pipelines at scale.
- Experience using Power BI, Tableau, or similar tools to communicate insights to non-experts.
- Bachelor’s degree in Computer Science or equivalent.
- Preferred experience with GitHub, workflow orchestration, and ETL scheduling tools such as Airflow, Dagster, or dbt.
- Preferred experience with distributed storage systems such as HDFS or S3.
- Familiarity with prompt engineering, generative AI tools, statistics, and machine learning techniques is preferred.
- Previous e-commerce or retail experience is preferred.
Benefits
- Hybrid work model.
- Eligible veterans and disabled individuals may receive preferential treatment in accordance with applicable laws.
About Coupang
Coupang builds and operates a South Korea–focused e-commerce marketplace with an end-to-end logistics network (Rocket Delivery), plus food delivery, video streaming, and fintech under brands such as Coupang, Eats, and Play. Revenue comes from first-party retail, third-party marketplace services, advertising, and memberships (Rocket WOW). Founded in 2010, the company is headquartered in Seattle and is publicly listed on the NYSE (CPNG).