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У роли понятный профиль senior-инженера по данным, востребованный стек Azure и Databricks и заявлена поддержка развития; работа на клиентских проектах и требование права на работу в ЕС ограничивают доступность вакансии.
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Актуальный стек
Понятные задачи
Поддержка развития
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Текст:
Hirify AI/Оригинал
TL;DR
Senior Data Engineer (Databricks) (Databricks/PySpark): Building end-to-end ETL/ELT pipelines, data models, and cloud-based data platforms on Azure with an accent on Python, SQL, orchestration, and lakehouse architecture. Focus on designing scalable solutions for complex datasets, integrating source systems and networking, and delivering business value through modern Databricks capabilities.
Location: Fully remote; applicants must have the legal right to work in the EU
Company
hirify.global is a digital advisory and delivery company that builds data-driven digital services and eCommerce applications, operating as part of Solita’s European technology community.
What you will do
Build end-to-end ETL/ELT data pipelines on Databricks using Python and SQL.
Design data models for large and complex datasets that meet functional and non-functional business requirements.
Take a holistic view of source systems, networking, orchestration, and the wider data platform.
Collaborate with project teams to meet client needs and deliver high-quality solutions.
Stay current with Databricks functionalities, including Delta Tables, Unity Catalog, and Iceberg integration.
Requirements
Several years of experience with Microsoft products and Databricks.
Proficiency in Python and SQL.
Experience using Databricks on Azure projects.
Experience with Airflow, Databricks Workflows, or another orchestration tool.
Practical understanding of implementing data lake, data warehouse, and lakehouse platforms.
Experience with Azure infrastructure and data services.
Experience working in international teams using modern project and task management tools such as Jira, Confluence, or Azure DevOps.
Effective communication skills and proficiency in Polish and English.
Legal right to work in the EU.
Culture & Benefits
Fully remote work with the option to use one of the company offices.
Dynamic environment focused on innovation and collaboration.
Access to projects and technologies across various industries.
Support from an expert community, mentors, and team leaders.
Continuous learning, specialized big data training, Databricks certifications, and career development opportunities.
Competitive compensation and focus on work-life balance.
Hiring process
Brief introductory call.
Short recruitment task.
Discussion of the candidate’s area of expertise.
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