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3 дня назад

Data Engineer Lead (SQL Server)

Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Mexico
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Data Engineer Lead (SQL Server): Designing and developing automated data pipelines and analytics solutions with an accent on modernizing legacy reporting and supporting predictive model production. Focus on optimizing SQL Server performance, building scalable BI dashboards in Tableau, and ensuring reliable execution of analytical workflows.

Location: Guadalajara, Jalisco, Mexico

Company

hirify.global is a premier AI services provider that aligns human expertise with artificial intelligence to solve complex business challenges and drive innovation.

What you will do

  • Design, develop, and maintain automated data pipelines and analytics solutions.
  • Modernize manual reporting processes by converting Excel workbooks into scalable automated workflows.
  • Optimize SQL queries, data models, and overall processing performance.
  • Support production data preparation and model scoring for predictive analytics.
  • Monitor data quality, troubleshoot pipeline issues, and ensure reliable operational execution.
  • Collaborate with business and technical stakeholders to deliver scalable data solutions.

Requirements

  • Proven track record as a Data Engineer, Analytics Engineer, or BI Developer.
  • Strong SQL Server development and database management skills, including complex queries and performance optimization.
  • Proficiency in Python for automation and data processing.
  • Experience with Databricks for production data pipelines.
  • Demonstrated experience developing reports and dashboards using Tableau.
  • Ability to reverse engineer undocumented Excel reports and reconcile outputs against baselines.

Nice to have

  • Deep experience with Power BI or Looker.
  • Knowledge of dimensional modeling (reporting marts, conformed dimensions).
  • Experience in hospitality, vacation ownership, or operational reporting.
  • Experience supporting machine learning operations in production.

Culture & Benefits

  • Access to AWS, Databricks, and Snowflake certifications.
  • Comprehensive AI learning paths and Udemy Business access.
  • English language lessons for professional communication.
  • Career development plans and mentorship programs.
  • Flexible working options and company-provided equipment.
  • Travel opportunities for industry conferences and client meetings.

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