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Wallet icon Coin icon Rate 7 800 € - 8 800 € / month info
Timer icon Form of cooperation Full-time
Briefcase icon Sector Banking
Location icon Location 100% Remote

info The reward is calculated upon delivery of 20 MD per month (1MD=8h)

Project duration 12-36 months with the possibility of extension
Period of cooperation 01.09.2026 - 31.08.2027
Start date By agreement
Project duration 12-36 months with the possibility of extension
Period of cooperation 01.09.2026 - 31.08.2027
Start date By agreement
Technology
  • ETL
  • MS SQL
  • SQL
  • TSQL
  • Azure Databricks
Languages
  • English flag English - active, B2/C1/C2

Project description

  • responsibility for the design, development, and maintenance of a data platform built on Databricks
  • participation in the design, creation (SQL, Python, PySpark) and operation of scalable data pipelines and products within Databricks
  • development and maintenance of DWH data models and datasets (in accordance with Kimball methodology) together with the team
  • implementation of:
    • ELT/ETL for data processing
    • native Databricks features (Lakeflow Declarative Pipelines)
    • data quality control monitoring (Expectations) 
  • configuration and management of access and catalogs/schemas (Unity Catalog)
  • participation in the creation of technical documentation
  • operations support (responding to incidents and continuously improving platform reliability)
  • long-term cooperation in an agile team
  • cooperation possible in a 100% REMOTE or hybrid REMOTE / ON-SITE (Bratislava) mode - depending on project needs and freelancer preferences

Project requirements

  • advanced experience with:
    • operating Databricks in a production environment
    • building scalable data pipelines and products (using SQL, Python and/or PySpark) 
  • experience with specific Databricks technologies, such as:
    • Lakeflow Declarative Pipelines (DLT)
    • Expectations
    • Unity Catalog
    • CI/CD process for data pipelines (ideally Databricks Asset Bundles)
  • experience with designing and modeling DWH (in accordance with Kimball, Inmon and/or Data Vault methodology) 
  • knowledge of:
    • orchestration patterns
    • incremental processing
    • SCDs 
    • metadata management 
    • observability
  • fluent knowledge of English (written and spoken)
  • advantageous experience with:
    • MS SQL Server and T-SQL
    • MS Azure (ADLS, network/security concepts, identity/authentication...)
    • Git (branching, code reviews)
    • Databricks Asset Bundles
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