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databricks engineer

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Рекламный баннер: ОБЩЕСТВО С ОГРАНИЧЕННОЙ ОТВЕТСТВЕННОСТЬЮ "ЦЕНТР НАЦИОНАЛЬНЫХ ИНТЕЛЛЕКТУАЛЬНЫХ СИСТЕМ"
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ОБЩЕСТВО С ОГРАНИЧЕННОЙ ОТВЕТСТВЕННОСТЬЮ "ЦЕНТР НАЦИОНАЛЬНЫХ ИНТЕЛЛЕКТУАЛЬНЫХ СИСТЕМ"
ИНН: 9704271170

описание

LeverX is a global company and SAP Gold Partner with 20 years of experience delivering international projects for clients across various domains.

задачи

  • Design, develop, and maintain scalable data pipelines and transformation workflows using Databricks and dbt
  • Build reliable ETL/ELT processes for structured and semi-structured data using SQL, Python, and PySpark
  • Implement and optimize Delta Lake tables and lakehouse architectures for performance, scalability, and cost efficiency
  • Develop reusable, tested, and well-documented dbt models, including automated data quality checks and monitoring
  • Collaborate with data analysts, data scientists, software engineers, and business stakeholders to translate requirements into robust data solutions
  • Support CI/CD, version control, and automated testing practices for data pipelines and transformation workflows
  • Troubleshoot production data issues, optimize Databricks workloads, and improve data platform reliability and observability

требования

  • 3+ Years of professional Data Engineering experience
  • Strong hands-on experience with Databricks, dbt, SQL, and Python and/or PySpark
  • Good understanding of Delta Lake, lakehouse architecture, and distributed data processing
  • Experience designing and maintaining production-grade ELT pipelines
  • Experience with Git and CI/CD development workflows
  • Understanding of data modeling, data quality, testing, and data governance concepts
  • Experience with at least one major cloud platform: Azure, AWS, or GCP
  • Strong troubleshooting and performance optimization skills
  • English B2+
  • Будет плюсом: Databricks certifications, Databricks Unity Catalog, Databricks Workflows, Airflow, Azure Data Factory, Infrastructure as Code, Terraform, dimensional modeling, modern analytics engineering practices, large-scale enterprise data platforms

условия

  • Projects across healthcare, manufacturing, e-commerce, fintech, and other domains, including startup products, enterprise solutions, R&D initiatives, and projects combining SAP with web technologies
  • Global clients based in Europe and the US, including Fortune 500 companies
  • Employment security: hired for the company team, with reassignment to a new project if the current project ends
  • Market-based compensation and regular performance reviews
  • Internal expert communities and courses
  • Perks supporting professional growth and well-being

Глобальный системный интегратор и SAP-консалтинг компания, занимающаяся цифровой трансформацией и заказной разработкой.

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