Altexsoft

We are looking for a Senior Data Engineer to join AltexSoft and strengthen our data engineering practice on a large-scale, high-impact project within the travel and hospitality domain. In this role, you will work hands-on with complex data ecosystems, taking responsibility for the stability, scalability, and performance of mission-critical data integrations.
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.
 

You Have

• 5+ years of 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.

   

Would be a plus

• Experience with airline, travel, or hospitality-related datasets.
• Exposure to observability and monitoring tools for large-scale data systems.
• Experience building AI-powered solutions or integrating AI pipelines/APIs into software projects.
• Experience with 2nd tier PMS market like Tesipro or Maestro.

• Or any property management systems APIs.

   

You Are Going To

• 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.

We offer