Data Engineer SR (Databricks | ADF | AI)

Jobgether

Remote regions

Brazil

Benefits

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Accountabilities:

  • Design, build, and maintain scalable data models and pipelines using Databricks, Azure Data Factory, and ADLS.
  • Develop and optimize ETL/ELT processes to integrate structured and unstructured data from APIs, files, and enterprise systems.
  • Work with SAP Datasphere and relational databases to support enterprise data integration.

Requirements:

  • Strong hands-on experience with Databricks, Azure Data Factory, ADLS, and cloud data architectures.
  • Solid SQL and data modeling knowledge, plus Python experience for data engineering and pipeline development.
  • Minimum 4 years IT experience with relevant degree or postgraduate qualification.

Differentials:

  • Experience with SAP Datasphere, TIBCO, Knime, PowerCenter, or SAP PowerDesigner.
  • Exposure to data cataloging, governance, or advanced data platform ecosystems.
  • Knowledge of AI-driven approaches like RAG for document intelligence.

Jobgether

This role is listed on behalf of a partner company that focuses on data-driven transformation initiatives, designing scalable data pipelines for advanced analytics and AI use cases. They offer a collaborative technical environment and invest in continuous learning and cutting-edge technologies.

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