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Data Engineer (ID: 3674)

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icon briefcase Auftragstyp : Vollzeit
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Arbeitsbeschreibung - Data Engineer (ID: 3674)

As a Data Engineer, you will:
  • Design, develop, and maintain scalable data pipelines using Databricks (Python & SQL) and Apache Spark
  • Build and manage robust data transformation workflows using dbt
  • Orchestrate end -to -end data workflows using Azure Data Factory
  • Implement and monitor data quality checks using tools like Soda
  • Ensure data governance, cataloging, and compliance using Microsoft Purview
  • Develop and optimize data models for reporting and analytics
  • Collaborate with cross -functional teams including data analysts, BI developers, and stakeholders
  • Support reporting solutions using Power BI, including DAX -based calculations
  • Contribute to CI/CD pipelines and deployment processes using Azure DevOps
What You Bring to the Table:
  • 6–10 years of experience in Data Engineering or related roles
  • Strong hands -on experience with Databricks, Spark, and Python
  • Solid expertise in SQL Server and advanced SQL querying
  • Experience with dbt for data modeling and transformation
  • Proven experience with Azure Data Factory for orchestration
  • Knowledge of data quality frameworks and tools like Soda
  • Familiarity with data governance tools, especially Microsoft Purview
  • Experience working in cloud -based data platforms, preferably Azure
  • Exposure to Power BI and DAX for reporting and analytics
  • (Preferred) Experience with SSIS / SSRS
You should possess the ability to:
  • Work in a modern, industrialized data ecosystem with strong governance standards
  • Design efficient and scalable data architectures
  • Ensure high data reliability, quality, and integrity
  • Troubleshoot and optimize complex data pipelines
  • Communicate effectively with both technical and non -technical stakeholders
  • Adapt quickly in a fast -paced, agile environment
What we bring to the table:
  • Opportunity to work on modern cloud -based data platforms and technologies
  • Exposure to enterprise -level data governance and quality frameworks
  • A collaborative and innovation -driven work environment
  • Opportunities for continuous learning and professional growth
  • Challenging projects that drive business impact through data
Let’s Connect

Want to discuss this opportunity in more detail? Feel free to reach out.

Recruiter: Hari Sankar R
Phone: +31 20 369 0609 ; Extn : 147
Email: [email protected]
LinkedIn: https://www.linkedin.com/in/harisankar753/

Original job Data Engineer (ID: 3674) posted on GrabJobs ©. To flag any issues with this job please use the Report Job button on GrabJobs.
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