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6 дней назад

Data Engineer (Microsoft Fabric)

Формат работы
remote
Тип работы
fulltime
Грейд
middle
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
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TL;DR

Data Engineer (Microsoft Fabric): Designing, building, and maintaining robust data pipelines and transformation logic for the Mortgage Cadence Platform with an accent on SQL, ETL, and data quality. Focus on building scalable data workflows, implementing validation logic, and collaborating with the Lead to ensure system reliability and performance.

Company

hirify.global is a technology company providing a platform for digital experience monitoring and testing.

What you will do

  • Design and build ETL pipelines using Microsoft Fabric tools like Dataflow Gen2 and Notebooks.
  • Write optimized SQL queries for data ingestion and transformation.
  • Implement data quality checks and validation logic at every stage of the pipeline.
  • Develop dimensional models and aggregation logic to support analytics requirements.
  • Troubleshoot pipeline failures and performance issues in collaboration with IT and Engineering.
  • Maintain comprehensive documentation of data lineage, dictionaries, and transformation specifications.

Requirements

  • Advanced SQL skills including query optimization, window functions, and performance tuning.
  • Proficiency with Microsoft Fabric or equivalent ETL tools like Python, dbt, or Informatica.
  • Strong understanding of relational database design and dimensional modeling.
  • Experience with Power Query, Python scripting, and Git version control.
  • Ability to interpret business requirements and translate them into efficient data solutions.
  • Strong data governance mindset with a focus on documentation and quality standards.

Culture & Benefits

  • Opportunity to work in a remote-first environment.
  • Focus on technical excellence and code quality.
  • Collaborative team structure with clear architectural guidance from the Lead.
  • Exposure to complex data workflows within the mortgage and lending domain.

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