Expert Developer – Data Analytics & Data Engineering (Azure)
Контакты
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Hungary
pythonsqldata engineeringazurepower bisparkdatabricksdata architecturedata warehousedelta lake
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Хорошая вакансия
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Роль четко сосредоточена на архитектуре современной платформы данных в Azure и дает серьезную техническую ответственность, хотя в сервисной компании возможна работа над разными клиентскими проектами.
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Сервисная компанияСовременный стек данныхЧеткая зона ответственностиРабота только из Венгрии
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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