remote
Business Data Engineer
Data Engineer
Design and maintain scalable data pipelines on AWS, automating data ingestion and transformation to support business analytics, while integrating diverse APIs and ensuring data quality.
About the role
Key Responsibilities
- Develop, deploy, and monitor end‑to‑end data pipelines on AWS services such as S3, Glue, Lambda, and Redshift.
- Automate data ingestion from internal and external APIs, ensuring reliable, high‑throughput data flow.
- Design and implement data transformation and enrichment processes using Python and SQL to support business intelligence and reporting.
- Maintain data quality, lineage, and documentation, and troubleshoot pipeline failures promptly.
- Collaborate with analytics, product, and engineering teams to define data requirements and deliver scalable solutions.
Requirements
- 3+ years of experience building data pipelines and automation on AWS.
- Proficiency in Python and SQL for data manipulation and scripting.
- Hands‑on experience with API integration, data ingestion, and ETL/ELT processes.
- Familiarity with data modeling, schema design, and performance optimization in cloud data warehouses.
- Strong problem‑solving skills and ability to work in a fast‑paced, cross‑functional environment.