Senior Data Engineer

5500
-
6500
USD per month
Remote
Full-remote
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About Company

We are looking for a Senior Data Engineer to join and strengthen data engineering practice on a large-scale, high-impact project within the travel and hospitality domain. You will play a key role in resolving non-trivial technical issues, improving existing pipelines, and evolving engineering processes to make data operations more resilient and proactive. The position offers a strong technical challenge and real influence on systems that process massive volumes of data used by analytics platforms and customer-facing products

Requirements

  • 5+ years experience in Python and proven experience working with large-scale datasets.
  • Experience with PMS integrations/Hospitality domain
  • Solid background in designing, building, and maintaining data processing pipelines.
  • Experience with cloud platforms (GCP, AWS, or Azure).
  • Hands-on skills with SQL and data storage/querying systems (e.g., BigQuery, BigTable, or similar).
  • Knowledge of containerization and orchestration tools (Docker, Kubernetes).
  • Ability to troubleshoot and debug complex technical issues in distributed systems.
  • Strong communication skills in English, with the ability to explain technical details to both technical and non-technical stakeholders.
  • Experience using AI coding assistants (e.g., Cursor, GitHub Copilot, or similar) in day-to-day development tasks.
  • Experience with Google Cloud services such as Pub/Sub, Dataflow, and ML-driven data workflows.

Duties

  • Maintain and enhance existing data integrations, ensuring the reliability, accuracy, and quality of incoming data.
  • Lead the investigation and resolution of complex incidents by performing deep technical analysis and debugging.
  • Communicate effectively with stakeholders (including customer-facing teams and external partners) by providing transparent and timely updates.
  • Collaborate with partners to troubleshoot integration issues and ensure smooth data flow.
  • Identify opportunities to improve processes, tooling, and documentation to scale and streamline data operations.
  • Contribute to the design and delivery of new data engineering solutions supporting business-critical systems.

Conditions

  • Reimbursement of medical expenses
  • Compensation for trainings, seminars, conferences
  • Free access to the Pluralsight and ACloudGuru knowledge base
  • Engagement in our Mentorship Hub program as a mentor or a mentee to foster professional growth and development

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