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Чётко описанная senior-роль в data сочетает Databricks, AI-решения и ответственность за продукт от начала до продакшена; условия оплаты не раскрыты.
Актуальные технологии
Работа над продуктом
Практическая senior-роль
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior BI Developer (Databricks + Genie and/or AI Foundry): Developing and maintaining a data warehouse, onboarding data sources into pipelines, and building data solutions with Azure Databricks, Genie, and AI Foundry with an accent on modern data engineering and applied AI. Focus on designing hands-on data and AI solutions, integrating new sources, and delivering production-ready features in a cross-functional Agile team.
Location: Warsaw, Poland
Company
hirify.global builds reliable, accessible, and efficient digital solutions and is an NEC company serving government, public service, financial, and private-sector organizations.
What you will do
Develop and maintain the data warehouse environment.
Onboard new data sources into existing data pipelines.
Configure and develop data-focused solutions based on Genie and AI Foundry.
Work hands-on with modern data and AI technologies.
Own features end to end, from business requirements and design through implementation and production operation.
Requirements
Very strong, senior-level experience with Azure Databricks.
Practical experience with Genie and/or AI Foundry.
Experience applying AI in a data context.
Motivation to remain hands-on at senior level.
Knowledge of modern data solutions.
At least basic SQL skills.
Nice to have
Advanced SQL skills.
Culture & Benefits
Work follows Agile principles, generally in bi-weekly iterations, with production-ready functionality delivered at the end of each iteration; some work is project-based.
Cross-functional team of seven people responsible for developing, testing, building solutions and pipelines, maintaining features, and collaborating with internal stakeholders.
More than 50% of the work focuses on new product features.
Work spans different business areas, solutions, and technologies, with teams owning solution domains and system components.
Culture emphasizes teamwork, feedback, continuous improvement, software best practices, expertise, and craftsmanship.
Employment decisions are based on merit, competence, performance, and business needs with equal-opportunity principles.
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