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Sr Data Engineer

Summary

Senior Data Engineer building analytics solutions with Microsoft Fabric, optimizing PostgreSQL databases, and developing Python/Django pipelines and data applications on Azure within a hybrid team in Mexico City.

Sr. Data Engineer

At Onetree, we are looking for a Sr. Data Engineer to join our team and play a key role in data analysis, data modeling, and the development of data-intensive applications on Azure.

Key Responsibilities

  • Analyze, model, and transform data to support business decision‑making, building analytics solutions with Microsoft Fabric: ingestion, transformation, semantic models, and reporting for business stakeholders.
  • Design and optimize PostgreSQL data structures, including index design, query tuning, and schema evolution for large volumes.
  • Develop and maintain data processing pipelines and asynchronous workloads using Python, Celery, and Redis, ensuring reliability, traceability, and observability.
  • Build and maintain the applications that expose and operationalize data, working across the Django backend and the front‑end layer (HTML, CSS, JavaScript).
  • Deploy, monitor, and optimize data workloads and applications on Azure, balancing performance, cost efficiency, availability, and maintainability.

Requirements

  • Location: Candidates must be based in Mexico City and work in a hybrid model.
  • Proven senior­‑level experience as a Data Developer / Data Engineer, with strong hands‑on data analysis and data modeling skills.
  • Advanced knowledge of PostgreSQL, including query optimization and index design.
  • Solid hands‑on development experience with Python and Django.
  • Experience with Celery and Redis for asynchronous and scheduled data processing.
  • Experience with Microsoft Fabric for data analysis.
  • Experience deploying and operating solutions on Azure.
  • Working knowledge of front‑end fundamentals: HTML, CSS, and JavaScript.
  • Intermediate level of English.

What We Offer

  • Opportunity to build challenging data analysis and data architecture solutions end to end.
  • A highly collaborative work environment alongside senior technical teams.
  • Hybrid work flexibility and continuous professional growth.

See also

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