Senior Data Engineer
Nimbus Technology JSC, a fast-growing IT services company headquartered in Hanoi and operating remotely, is hiring a Senior Data Engineer to join their team. This is a full-time remote position focused on delivering cutting-edge enterprise-grade solutions across global markets. The ideal candidate will contribute to the development of robust data pipelines and ETL processes to support diverse industry applications, including FinTech and EduTech. Nimbus offers a dynamic, international work environment and is committed to social impact, donating a portion of all revenue to community initiatives.
Ideal candidates should have 1.5+ years of experience in Python and Pandas for ETL tasks, along with proven skills using AWS services such as S3, Glue, Lambda, and Step Functions. Proficiency in workflow orchestration tools like Airflow or AWS-native tools is essential. Experience working with PostgreSQL or Redshift, schema management, and data validation is critical. Strong engineering practices—such as version control, modular design, and testing—are a must. Familiarity with ESG data standards is a plus. This role is open to candidates based in Hanoi.
Nimbus is a mission-driven company that values innovation, social responsibility, and building technology that matters. You'll have the opportunity to collaborate with top global teams while making a meaningful impact—not only in technology but in communities worldwide. Apply now to be part of a company that’s redefining what’s possible in tech.
Requirements
- 1.5+ years of experience with Python and Pandas for ETL
- Proficiency with AWS services: S3, Glue, Lambda, Step Functions
- Solid understanding of workflow orchestration tools (Airflow or AWS-native)
- Experience managing schema evolution and data validation
- Proficient in writing queries and managing data in PostgreSQL or Redshift
- Strong software engineering principles: modularity, testing, version control
- Bonus: Familiarity with ESG data or reporting standards
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