📝 Podrobnosti o nabídce práce

💰 Dle domluvy🏢 Link Group

  • 8+ years of experience in Data Engineering
  • 4+ years of hands-on experience with Databricks (pipelines, Unity Catalog, platform components)
  • 2+ years of experience working with Big Data technologies
  • Strong proficiency in Python and SQL
  • Solid background in data warehousing, ETL processes, distributed systems, and data modeling
  • Experience working with large-scale data in cloud environments (Azure, AWS, or GCP)
  • Strong understanding of relational and non-relational database design
  • Familiarity with Data Lakes, Data Marts, and Data Mesh architectures
  • Experience with Agile delivery and CI/CD practices
  • Very good English communication skills (spoken and written)

We are looking for an experienced Senior Data Engineer to join a long-term project focused on building and optimizing modern data platforms. You will work in a highly technical environment, contributing to large-scale, distributed data solutions and ensuring high standards of data quality, performance, and reliability.

About the role


In this position, you will design, build, and maintain advanced data processing pipelines using Databricks, Python, and SQL, while working with modern concepts such as Data Lakes, Data Warehouses, Data Mesh, and distributed data processing. You will collaborate closely with cross-functional teams, contributing to architecture decisions and helping shape the direction of the data ecosystem.

,[Designing and implementing scalable data pipelines in Databricks, Working with structured, semi-structured, and unstructured data, Developing and optimizing ETL/ELT processes, Building and maintaining data models and distributed data solutions, Implementing best practices in data engineering, DevOps, and CI/CD, Supporting the development of modern data platform components (Data Lake, Data Warehouse, Data Mesh), Collaborating with the team using Agile methodologies (Scrum/Kanban)] Requirements: Data engineering, Databricks, UNITY, Big Data, Python, SQL, ETL, Data modeling, Azure, AWS, GCP, Relational database, CD, Data Lake Additionally: Sport subscription, Private healthcare.

Kategorie

data

  • 📍
    Lokalita: Remote
  • ⏱️
    Směnnost: fulltime - 40 hours per week
  • 📆
    Nástup: IHNED
  • 🏢
    Firma: Link Group
  • ❓ Vše, co o této práci potřebujete vědět

    👉 Kde je tato práce?

    Práce je v lokalitě Remote.

    👉 Kdo na tuto pozici nabírá?

    Tuto pracovní pozici nabízí firma Link Group.

    👉 Jaká je směnnost?

    Směnnost: fulltime - 40 hours per week.

    👉 Kdy je nástup?

    Nástup je od IHNED.

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