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Senior Data Engineer

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SeniorZdalnie·WarszawaFull-time
#455854·Dodano 3 dni temu·4
Źródło: Experis
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Tech Stack / Keywords

DatabricksPythonPySparkMicrosoft FabricAzure SynapsePower BISnowflakeBigQueryAzure.NET

Firma i stanowisko

Experis to światowy lider rekrutacji specjalistów i kadry zarządzającej w kluczowych obszarach IT. Z nami znajdziesz konkurencyjne oferty zatrudnienia oraz ciekawe projekty IT skierowane zarówno do ekspertów z wieloletnim doświadczeniem, jak i osób, które dopiero zaczynają swoją przygodę w branży IT.

Wymagania

  • Strong understanding of modern data platform architecture
  • Hands-on experience building solutions in Databricks using Python/PySpark (alternatively Microsoft Fabric or Azure Synapse)
  • Professional software development experience
  • Experience with Power BI or similar Business Intelligence tools
  • Excellent communication and collaboration skills

Nice to have:

  • Experience with platforms such as Snowflake, BigQuery, or similar data solutions
  • Experience designing end-to-end data platform architectures
  • Knowledge of Microsoft technologies, including Azure, Azure Cloud Services, and .NET
  • Familiarity with AI-assisted development environments
  • Understanding of Agentic AI, agent-based programming techniques, and Model Context Protocol (MCP)

Obowiązki

  • Design, build, and maintain modern data platform solutions
  • Develop and optimize data processing pipelines using Python and PySpark
  • Deliver scalable solutions using Databricks, Microsoft Fabric, or Azure Synapse
  • Collaborate with business and technical stakeholders to understand data requirements
  • Support reporting and analytics initiatives using Business Intelligence tools
  • Contribute to data architecture design and best practices
  • Ensure high-quality, reliable, and efficient data solutions

Benefity

  • B2B contract via Experis
  • Fully remote work model
  • International project environment
  • Medicover healthcare package
  • Multisport card
  • Group life insurance
  • Opportunity to work with modern cloud and data technologies
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