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4 дня назад

Senior Data Engineer (Azure)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Poland
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): Designing and implementing scalable data products and ETL processes for a modern Azure PaaS data platform with an accent on data quality, reliability, and performance. Focus on optimizing data storage, developing production-ready solutions, and driving commercial impact through data.

Location: Wroclaw, Poland

Company

hirify.global is a software development company providing services to a global jewelry manufacturer undergoing a major data platform transformation.

What you will do

  • Design, develop, and maintain scalable ETL processes and data pipelines.
  • Collaborate with product owners, architects, and cross-functional teams to translate business and product requirements into technical solutions.
  • Ingest, transform, and optimize large, complex data sets, ensuring data quality, reliability, and performance.
  • Optimize data storage, retrieval, and processing for performance and scalability.
  • Apply DevOps practices, CI/CD pipelines, and coding best practices to ensure robust, production-ready solutions.
  • Document technical specifications, data models, and system architecture for team alignment and long-term maintainability.

Requirements

  • 5+ years of experience as a Data Engineer with proven expertise in Azure Synapse Analytics and SQL Server.
  • Advanced proficiency in SQL, covering relational databases, data warehousing, dimensional modeling, and cubes.
  • Practical experience with Azure Data Factory, Databricks, and PySpark.
  • Track record of designing, building, and delivering production-ready data products at enterprise scale.
  • Strong analytical skills and ability to translate business requirements into technical solutions.
  • Excellent communication skills in English, with the ability to adapt technical details for different audiences.
  • Experience working in Agile/Scrum teams.

Nice to have

  • Familiarity with infrastructure tools such as Kubernetes and Helm.
  • Experience with Kafka.

Culture & Benefits

  • Paid Vacation and Sick Days.
  • Sport/Insurance Compensation.
  • English Classes.
  • Charity and Training Compensation.

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