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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Роль четко сфокусирована на промышленной разработке на Databricks, с современными инструментами и обучением; при этом работа в сервисной компании и три дня в офисе могут ограничивать стабильность проекта и гибкость.
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Обучение за счет компании
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Текст:
Hirify AI/Оригинал
TL;DR
Senior Databricks Engineer (Databricks): Designing, building, and operating production-grade data solutions on the Databricks Lakehouse Platform with an accent on scalable pipelines, Delta Lake, Spark optimization, and data governance. Focus on implementing layered architectures, tuning workloads and costs, and building reliable monitoring, recovery, and CI/CD-driven delivery.
Location: Lisbon, Portugal; hybrid with 3 days per week on-site
Company
hirify.global is a technology company providing tailored Cloud, Cybersecurity, Data, and Advanced Development solutions across Europe as part of an international technology services group.
What you will do
Design, build, maintain, and operate scalable data pipelines on the Databricks Lakehouse Platform using PySpark, Spark SQL, and Python.
Design and optimize Delta Lake tables, including partitioning, schema evolution, performance tuning, caching, shuffling, join strategies, and file sizing.
Implement Raw, Cleansed, and Curated data architectures and manage Databricks Jobs, Workflows, and Delta Live Tables.
Configure clusters, monitor platform cost efficiency, and implement logging, monitoring, alerting, recovery, and data quality controls.
Use Unity Catalog for governance, lineage, and access control; participate in code reviews and CI/CD-driven delivery.
Collaborate in Agile ceremonies and maintain technical documentation and architecture decisions.
Requirements
6+ years of professional experience in Data Engineering.
Significant hands-on Databricks experience in production environments.
Strong expertise in Apache Spark, PySpark, and Spark SQL.
Proven practical experience with Delta Lake.
Advanced Python and SQL skills.
Experience designing, deploying, and supporting production-grade data pipelines.
Experience with Git and CI/CD practices, plus Databricks Workflows, Jobs, and Delta Live Tables.
Bachelor’s or Master’s degree in Computer Science, IT, Engineering, or a related field.
Fluent English, written and spoken.
Nice to have
Unity Catalog, data governance, and lineage experience.
Cloud experience with Azure, AWS, and/or GCP.
Terraform, Databricks Asset Bundles, dbt, or Airflow.
Databricks Data Engineer Associate or Professional certification.
Exposure to MLflow and Databricks ML workflows.
Experience in product engineering environments.
Culture & Benefits
Attractive salary package and work-life balance.
Work on large-scale international data platforms using modern cloud and data technologies.
Tailor-made training aligned with professional goals.
Friendly, collaborative, entrepreneurial, and dynamic workplace culture.
Health and life insurance.
Tech Visa support is available for candidates outside the European Union.
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