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1 день назад

Expert Developer – Data Analytics & Data Engineering (Azure)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Hungary
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Expert Developer – Data Analytics & Data Engineering (Azure): Designing and developing Azure Lakehouse platforms with an accent on Databricks, Delta Lake, data architecture, and migration from traditional data warehouses. Focus on building sustainable platform architectures, developing Spark-based data pipelines, coaching engineering teams, and protecting business-critical and personal data.

Location: Hybrid in Budapest, Hungary; remote working is available only within Hungary due to European taxation regulation.

Company

hirify.global is a subsidiary of Deutsche Telekom Group providing IT and telecommunications services, including data management, analytics, visualization, and process automation solutions.

What you will do

  • Design IT platforms, processes, and organizational structures for an evolving Azure-based Lakehouse.
  • Develop sustainable architectures, prototype solutions, and evaluate new technologies.
  • Work with Databricks, Data Factory, Data Lake Storage, Event Hubs, and related Azure technologies.
  • Support engineering teams with platform architecture development and coach them toward independent solution design.
  • Ensure data protection and security when handling business-critical and personal data.
  • Establish platform architecture principles, patterns, and best practices collaboratively.

Requirements

  • At least 5 years of experience in data engineering architecture.
  • At least 5 years of hands-on experience with Databricks and Delta Lake on Azure services.
  • Experience migrating traditional data warehouse solutions to modern data platforms such as Lakehouse and Delta Lake.
  • Degree in Business Informatics, Business Administration, or equivalent practical experience.
  • Strong experience with modern data platform and data warehousing architectures, including data lake storage organization and architecture.
  • Solid understanding of relational and multidimensional database systems.
  • Proficiency in Kimball, Inmon, and Data Vault data warehouse modeling methods.
  • Experience developing data pipelines with Spark Structured Streaming and Delta Lake.
  • Strong programming skills in SQL, Python, and Spark.

Nice to have

  • Experience with reporting, analytics, and dashboarding.
  • Hands-on experience with Agile methodologies such as Scrum and Kanban.
  • Knowledge of BI solutions using Azure Databricks, Azure Data Factory, Azure Storage, Azure Synapse, Azure Logic Apps, and Power BI.
  • Experience with Power Platform, including Power Automate and Power Apps.
  • Microsoft certifications including DP-900, DP-100, DP-203, DP-300, AI-900, AZ-900, or DP-420.

Culture & Benefits

  • Dynamic environment focused on continuous learning and development.
  • Hybrid work model with remote work available within Hungary.
  • Work on enterprise-wide data warehouse, analytics, cloud, and Lakehouse initiatives.

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