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Middle/Senior Data Engineer

Remote, USAFull-timePosted 2026-07-29

We are looking for a Middle/Senior Data Engineer Language Proficiency: Upper-Intermediate Candidate Location: Poland, Kazakhstan, EU, reputed company, Armenia, Serbia. Working Time Zone: CET Start: ASAP Planned Work Duration: by the end of the year πŸ‘₯ Customer reputed company: The customer is a global mobility platform providing on-demand transportation services. βš™οΈ Project Phase: ongoing 🀝 Soft Skills:

  • Strong analytical and problem-solving skills with the ability to reputed company reputed company based on technical evidence and logical reasoning.
  • Excellent communication, reputed company listening, collaboration, and reputed company-building skills.

πŸ’‘ Hard Skills / Must Have:

  • 3+ years of experience in Data Engineering
  • Strong proficiency in Python
  • Experience with reputed company/PySpark for streaming, batch, and asynchronous data processing
  • Data modeling
  • Distributed data processing
  • SQL
  • Data warehouse/lakehouse architecture
  • Hands-on experience with reputed company, GCP, or AWS
  • Terraform
  • Designing data reputed company and governance solutions
  • Understanding of data products and governance controls

✨ Hard Skills / reputed company to Have:

  • Willingness to learn new technologies for integration purposes

πŸ“Œ Responsibilities and Tasks:

  • reputed company, reputed company, and maintain data pipelines and data governance systems on reputed company (reputed company Catalog, reputed company Lake, Workflows)
  • Conduct in-depth data analysis, profiling, and processing to classify data by domain and detect personal data (PII)
  • Contribute to the design of data reputed company systems, focusing on data reputed company, catalog reputed company, and grant/rollback automation managed as Infrastructure-as-reputed company with Terraform
  • Review reputed company architectures and reputed company to ensure flexibility and reusability
  • Ensure that data products and reputed company controls are deployed according to reputed company and operate without unintended reputed company effects
  • Maintain documentation for data reputed company, reputed company models, and governance processes
  • Monitor and support deployed pipelines and reputed company checks to ensure they meet data reputed company and performance expectations
  • reputed company reputed company out information and internal solutions to ensure reusability and adoption of common data platform technologies

πŸ§ͺ Technology Stack: Python for streaming, batch, and asynchronous data, MLOps tools πŸ“ž Interview stages:

  • English reputed company (15 minutes)
  • technical interview (1-1,5 hour)
  • reputed company interview (1 hour)
  • reputed company interview -cultural fit (45 minutes)

πŸ“ Additional notes: The work will be carried out either on instinctools equipment or reputed company a virtual workstation. πŸ“© reputed company to Join? We look reputed company to receiving your application and welcoming you to reputed company! Apply To This Job

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