Data Engineer / ETL | Microsoft Fabric

Fullstack .NET Cloud AWS

• Web Developer (Full Stack)

• .NET Core

• SQL Server

• Apply

• Node JSData Engineer / ETL | Microsoft Fabric

  At Tecdata Engineering, we are looking for a Data Engineer specialized in Microsoft Fabric to join a data engineering project focused on the development of ETL/ELT processes, integration of information sources, and the construction of Lakehouse architectures.

  We are looking for a technical profile with experience in data processing and transformation, capable of designing robust, scalable, and efficient solutions, guaranteeing the quality, traceability, and reliability of information.

  🔧 What will your functions be?

  • Design, develop, and maintain ETL/ELT processes for data ingestion, transformation, and loading.

  • Implement ingestion processes from databases, APIs, files, and other corporate information sources.

  • Design and develop layered data architectures: Bronze, Silver, and Gold.

  • Implement incremental loads, historization, deduplication, and reprocessing mechanisms.

  • Develop transformation processes using Python, PySpark, Spark SQL, and SQL.

  • Work with Microsoft Fabric, including Lakehouse, OneLake, Notebooks, Pipelines, Dataflows Gen2, and Delta tables.

  • Manage workspaces and maintain good organization and development practices in Microsoft Fabric.

  • Design and maintain relational, analytical, and semantic data models for Power BI.

  • Integrate corporate sources via APIs and Data Gateway.

  • Guarantee data quality, traceability, monitoring, and error management.

  • Apply good practices in testing, documentation, version control, and working with Git/GitHub.

  • Analyze and relate information coming from technological, risk, and cybersecurity environments.

  🛠️ What are we looking for?

  • Minimum 3 years of experience in data engineering and ETL/ELT process development.

  • Hands-on experience with Microsoft Fabric or equivalent platforms based on Lakehouse architectures.

  • Solid knowledge of Python, PySpark, Spark SQL, and SQL.

  • Experience in processing structured and semi-structured data: JSON, CSV, and XML.

  • Experience in API integration and consumption.

  • Knowledge of Lakehouse architectures and the Medallion approach: Bronze, Silver, and Gold.

  • Experience in relational and analytical data modeling.

  • Proficiency with Git/GitHub and controlled development methodologies.

  • Knowledge of data quality, monitoring, traceability, and error management.

  • Experience or knowledge in semantic modeling for Power BI.

  • Ability to understand and relate data from technological and cybersecurity environments.

  ⭐ What do we value?

  • Previous experience in technology, risk, or cybersecurity projects.

  • Microsoft Fabric Data Engineer Associate certification.

  • Fabric Analytics Engineer Associate certification.

  • Azure Data Engineer Associate certification.

  • Other certifications related to data engineering, Microsoft Azure, or Power BI.

  🎯 What do we offer?

  The opportunity to participate in a specialized data engineering project, working with technologies from the Microsoft Fabric ecosystem and modern architectures for information processing and exploitation.

  📩 Are you interested in the challenge? If you have experience developing ETL/ELT processes and working with Lakehouse architectures, we want to meet you!

  Send your application and continue developing your professional career with Tecdata Engineering.