sqlazureetldata modelingazure data factorypysparkeltspark sqlazure databricksdelta lakeazure sql
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Пожаловаться
Зарплата и рынок
ЗП не указана
На похожих ролях по рынку
$54к$72кмедиана$85к
8 в выборке
45
Не очень вакансия
развернуть
Обязанности и стек Azure описаны понятно, но зарплата не указана, а в тексте смешаны карточки вакансий для других городов, поэтому детали именно этой позиции менее надежны.
Кликните для подробной информации
Смешаны вакансииЗарплата не указанаАктуальный стекПонятные задачиБаланс работы и жизни
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Architect (Azure) (Agricultural Data & Analytics): Designing scalable Azure data solutions, multi-source integrations, and datasets for analytics and reporting with an accent on data modeling, ETL/ELT, data quality, and performance. Focus on architecting data warehouses and data lakes, optimizing complex SQL workloads, and integrating Azure Data Factory, Databricks, Spark SQL, PySpark, and Delta Lake.
Location: Warsaw, Poland; flexible hybrid work model.
Company
hirify.global is a software and technology consulting company providing mission-critical digital solutions across multiple industries.
What you will do
Design scalable Azure data solutions for multi-source system integration.
Create datasets supporting analytics and reporting platforms.
Translate business requirements into technical solutions, specifications, and data models.
Design ETL/ELT processes, data warehouses, and data lake solutions.
Ensure scalability, performance, data quality, validation, and error handling.
Collaborate with analysts, developers, DBAs, and stakeholders; support backend development and document solutions.
Requirements
4+ years of experience in data architecture, data engineering, or similar roles.
3+ years of hands-on experience with Azure data platform services, including Azure SQL Database, Azure Data Factory, Azure Data Lake Storage, Azure Storage, and Azure Logic Apps.
Experience with Azure Databricks, Spark SQL, PySpark, Delta Lake, data modeling, dimensional modeling, and star schemas.
Advanced SQL skills, including complex joins, CTEs, query tuning, indexing, and execution plan analysis.
Knowledge of APIs, CI/CD, Git, Infrastructure as Code, Azure security concepts, data quality, and validation.
English proficiency at Upper-Intermediate level or higher.
Nice to have
Power BI, reporting, metrics, KPIs, and business intelligence experience.
Azure DevOps, ARM templates, RBAC, Key Vaults, and cloud security knowledge.
Agriculture or agribusiness domain experience.
Mentoring experience and knowledge of Agile methodologies.
Culture & Benefits
Flexible hybrid work model.
Professional growth through meaningful projects in a growing sector.
Open culture with a focus on diversity, equity, and inclusion.
Strong work-life balance and continuous learning opportunities.
Hiring process
Submit a CV or LinkedIn profile.
Interviews are conducted on a continuous basis.
Final candidates undergo background verification before receiving an offer.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →