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6 дней назад

Senior Data Engineer (Azure Databricks)

Формат работы
remote (только Costa_rica)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
CR
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Data Engineer (Azure Databricks): Building scalable, production-grade data pipelines and business-ready datasets from enterprise data sources with an accent on Azure Databricks, Python, Spark, SQL, and data quality. Focus on integrating APIs, databases, cloud storage, and SFTP, designing dimensional models, optimizing transformations, and troubleshooting data discrepancies.

Location: Remote, San José Province, Costa Rica

Company

hirify.global designs, builds, and scales AI-powered solutions across design, development, cloud, data, and artificial intelligence.

What you will do

  • Design, build, and maintain reliable production-grade data pipelines using Azure Databricks and Python.
  • Develop scalable PySpark and Spark SQL transformations integrating data from APIs, relational databases, cloud storage, SFTP, and enterprise platforms.
  • Integrate ticketing, CRM, marketing, retail, and other business systems into a centralized Data Hub.
  • Develop data warehouses, dimensional models, data marts, and outbound feeds for third-party systems.
  • Implement data quality validations, consistency checks, and optimized SQL transformations.
  • Investigate discrepancies, troubleshoot pipeline failures, document technical processes, and communicate risks and progress.

Requirements

  • 5+ years of professional Data Engineering experience designing, building, and maintaining production-grade data pipelines.
  • Strong hands-on experience with Azure Databricks, advanced Python, and Apache Spark, including PySpark and/or Spark SQL.
  • Advanced SQL skills, including complex transformations, data validation, and query performance optimization.
  • Solid knowledge of data warehousing and dimensional modeling, including facts, dimensions, and data marts.
  • Experience integrating data from REST APIs, relational databases, cloud storage, SFTP, and multiple enterprise systems.
  • Hands-on experience with Microsoft Azure data services for ingestion, storage, processing, and integration.
  • Experience implementing data quality checks and validating consistency between source systems and target data models.
  • Strong problem-solving, analytical, organizational, ownership, autonomy, documentation, and engineering-practice skills.
  • Strong English communication skills and the ability to collaborate with a US-based enterprise team.

Nice to have

  • Experience migrating SQL-based data workloads to Azure Databricks.

Culture & Benefits

  • Remote work arrangement in Costa Rica.
  • Culture centered on Empowering Excellence, Collaborative Teamwork, Unsolicited Respect, Consistent Transparency, and Efficient Communication.
  • Opportunity to work on AI-native transformation and scalable business solutions.
  • Emphasis on learning quickly, ownership, technical discipline, clear documentation, and proactive communication.

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