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Senior Data Engineer (ID:3458)

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Job Description - Senior Data Engineer (ID:3458)

As a Senior Data Engineer , you will:
  • Act as a Senior Data Engineer, designing, building, and maintaining scalable data solutions on the Azure platform.
  • Develop and manage data pipelines using Azure Synapse Pipelines, T -SQL, Synapse Data Warehouse, and Dataflows.
  • Transform and prepare enterprise data for analytics and reporting use cases.
  • Work extensively with Databricks, using PySpark and SparkSQL for data processing and transformations.
  • Convert data sourced from Oracle ERP systems into consumable formats for Power BI and Power Apps reporting.
  • Support and contribute to modern data platform initiatives, including exposure to Microsoft Fabric where applicable.
  • Ensure data quality, performance optimization, and reliable delivery across data pipelines.
What You Bring to the Table:
  • 8–10 years of overall experience as a Data Engineer or in a similar data -focused role.
  • Solid experience with Databricks, PySpark, and SparkSQL.
  • Exposure to Microsoft Fabric is an added advantage.
  • Good understanding of Oracle ERP data, particularly Financials, Sales, and HCM domains.
  • Experience transforming ERP source data into analytics -ready datasets for reporting platforms such as Power BI and Power Apps.
  • Proven ability to work independently while collaborating with cross -functional technical and business teams.
You should possess the ability to:
  • Design and implement end -to -end data pipelines in Azure -based data platforms.
  • Handle large -scale data transformations using Spark -based technologies.
  • Translate business requirements into efficient and scalable data models.
  • Work autonomously while coordinating effectively with multiple stakeholders.
  • Optimize data performance, reliability, and usability for reporting and analytics.
  • Adapt to evolving data technologies and support continuous improvement initiatives.
What we bring to the table:
  • Opportunities to work on enterprise -scale data engineering initiatives using Azure and Databricks.
  • Exposure to modern data platforms and analytics -driven reporting solutions.
  • A role that combines technical depth with business -facing collaboration.
  • An environment that values ownership, independence, and data engineering expertise.
  • Involvement in transforming complex ERP data into meaningful business insights.
Let’s Connect

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

Recruiter: Aswin Dhanvandhar
Phone: +31 20 369 0609 ; Extn :141

Original job Senior Data Engineer (ID:3458) posted on GrabJobs ©. To flag any issues with this job please use the Report Job button on GrabJobs.
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