remote
Business Data Engineer - NEX Inc.
Data Engineer
Design and maintain scalable data pipelines and analytics solutions to support business insights for an active‑play technology platform, leveraging Python, SQL, AWS, and Spark.
About the role
Key Responsibilities
- Develop, test, and deploy robust ETL pipelines that ingest and transform data from IoT sensors, game logs, and user interaction sources.
- Design and optimize data models and warehouses to enable self‑service analytics for product, marketing, and operations teams.
- Implement data quality checks, monitoring, and alerting to ensure reliable, accurate reporting.
- Collaborate with data scientists and product managers to provide clean, well‑documented datasets for machine‑learning and A/B testing.
- Leverage cloud services (AWS) for scalable storage, processing, and orchestration of data workflows.
Requirements
- 3+ years of experience building data pipelines using Python, SQL, and Apache Spark.
- Strong knowledge of data warehousing concepts and hands‑on experience with cloud platforms such as AWS (Redshift, S3, Glue, Lambda).
- Proficiency in designing and maintaining ETL processes, data modeling, and performance tuning.
- Experience with version control (Git) and CI/CD pipelines for data engineering workloads.
- Excellent problem‑solving skills and ability to work cross‑functionally in a fast‑moving product environment.
Skills
pythonsqlawsapache spark