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19 часов назад

Data Quality Engineer (Azure/Databricks)

Тип работы
fulltime
Грейд
middle
Английский
c1
Страна
Argentina/Chile/Mexico +1 еще
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 Quality Engineer (Azure/Databricks): Ensuring data quality, reliability, and consistency across modern data platforms with an accent on validating data pipelines and implementing automated quality checks. Focus on designing data quality frameworks across Bronze, Silver, and Gold layers, performing end-to-end pipeline testing, and ensuring identity resolution accuracy.

Location: Montevideo, Uruguay

Company

hirify.global is a premier AI services provider committed to co-creating impact for clients through data science, AI, and technology.

What you will do

  • Design and implement a data quality framework across Bronze, Silver, and Gold layers, defining validation rules and alerting standards.
  • Build and maintain automated data quality checks within Databricks pipelines, including row counts, null checks, and schema validation.
  • Own reconciliation between source systems and Databricks layers to ensure accurate data landing and transformation.
  • Validate identity resolution outputs in the Silver layer by reviewing match rates and investigating false positives/negatives.
  • Perform end-to-end pipeline testing to validate data flow from ingestion to downstream reporting.
  • Partner with Data Engineers to define acceptance criteria and support UAT with client business stakeholders.

Requirements

  • 3+ years of experience in Data Quality, Data Engineering, or Data Analysis roles.
  • Experience with Azure-based data platforms and Databricks.
  • Strong SQL skills and experience analyzing large datasets.
  • Proficiency in validating ETL/ELT processes and working with layered architectures.
  • English: Advanced (C1) level required for effective communication with global teams.
  • Location: Must be based in Montevideo, Uruguay.

Culture & Benefits

  • Learning opportunities including certifications in AWS, Databricks, and Snowflake, and access to Udemy Business.
  • AI learning paths to stay current with the latest technological advancements.
  • Career development plans, mentorship programs, and professional English lessons.
  • Travel opportunities to attend industry conferences and meet clients.
  • Company-provided equipment and flexible working options.

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