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Senior Data Engineer
EPAM Systems
Remote · RomaniaSalary not disclosedfull-timeEPAM Systems Careers (remote abroad)
We are looking for a Senior Data Engineer to design and deliver scalable data pipelines and high-performance analytical solutions using SQL/BigQuery, Spark/PySpark, and Python on Google Cloud. This role focuses on building reliable, cloud-native data products that enable advanced reporting, analytics, and decision-making across the organization.
Responsibilities
- Design and deliver batch and real-time ETL/ELT pipelines across cloud environments to support analytics and reporting
- Write and optimize advanced SQL transformations and build performant, cost-efficient BigQuery data models
- Implement scalable data processing solutions using Python and PySpark, ensuring maintainable and high-quality code
- Build robust data models and apply validation practices to maintain accuracy and reliability
- Use GCP services such as BigQuery, Dataflow, Cloud Composer, Pub/Sub, and GCS to build and operate modern data platforms
- Troubleshoot complex pipeline issues and continuously improve compute, storage, and processing performance
- Collaborate with engineering, analytics, and business teams while contributing to CI/CD, code reviews, and testing standards
Languages
- Work format
- Remote
- Seniority
- Senior
- Posted
- 29 Sept 2026
- Last verified
- In the last 5 days
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