Sr. Data Engineer – Supply Chain
| Company | Tesla |
|---|---|
| Location | Fremont, CA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Mid Level, Senior |
Requirements
- Degree in Computer Science, Data Engineering, Information System, and evidence of exceptional ability or equivalent experience
- 3-5 years of work experience in Data Engineering, designing, and optimizing ETL pipelines in large-scale environments
- Proficiency in Python and SQL for data processing, automation, and query optimization in production systems
- Hands-on experience with workflow orchestration tools (e.g., Airflow) to automate and scale data pipelines
- Strong understanding of database performance tuning in PostgreSQL or other relational databases, including indexing, partitioning, normalization, and query optimization
- Experience working with containerized infrastructure using Kubernetes and implementing CI/CD automation with tools like Jenkins and GitHub Actions
- Familiarity with API integrations for data ingestion and structured data serving, ensuring scalability and security
Responsibilities
- Design, develop, and maintain scalable data pipelines for efficient data ingestion and transformation
- Optimize Airflow workflows and automate ETL processes to improve reliability, efficiency, and performance
- Develop and maintain database schemas, ensuring efficient storage, retrieval, and query optimization
- Implement data governance best practices, ensuring data quality, validation, and integrity
- Build API integrations to ingest external data sources and provide structured access for analytics teams
- Monitor, troubleshoot, and improve data infrastructure for scalability and fault tolerance
- Collaborate with cross-functional teams to align data solutions with business needs
Preferred Qualifications
-
No preferred qualifications provided.