Senior Data Engineer

Pest megye
  • Pipeline Development: Design, implement, and maintain scalable data pipelines and transformation workflows.

  • Data Modeling: Develop and manage analytical data models using SQL-based frameworks, translating business requirements into structured data.

  • Quality & Performance: Ensure high data quality, reliability, and performance across all production environments.

  • DevOps Integration: Implement version control, CI/CD, and automated testing for data workloads.

  • Collaboration: Work closely with BI and engineering teams to optimize the entire data lifecycle.

  • Maintenance: Monitor, troubleshoot, and document data models and engineering standards.

Elvárások:

  • Python: Solid programming skills for data processing and automation.

  • Azure Data Factory: Experience building and managing cloud orchestration.

  • Microsoft SQL Server (MSSQL): Advanced SQL skills and complex data transformation experience.

  • Azure Cloud: Hands-on experience within the Azure ecosystem and modern data architectures.

Nice to Have

  • Azure Synapse Analytics

  • Databricks (Spark-based processing)

  • Experience with dbt or equivalent SQL-centric transformation tools.

  • Familiarity with Infrastructure-as-Code (IaC) and automated provisioning.

Egyéb információ az állásról:

We are looking for an experienced Senior Data Engineer to design, build, and operate scalable cloud-based data solutions supporting analytical and business-critical use cases.

JELENTKEZEM


Cégnév: Randstad Hungary Kft.
Kapcsolattartó: <ul> <li> <p data-path-to-node="4,0,0">Full Remote Opportunity</p> </li> <li> <p data-path-to-node="
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