Data Engineer Microsoft Fabric
OliverWoodsConsulting
For several years, the organization has been striving to become fully data-driven and relies on a central data warehouse for the production of reports and analyses.
In a context of rapidly evolving technologies and business needs, it is now beginning the modernization of this platform by migrating it to the Microsoft Azure cloud. This transition includes the adoption of new high-performance tools, notably Microsoft Fabric (ETL) and Power BI.
To support this transformation, we are looking for two Microsoft Fabric Data Engineers .
Mission
Design and develop ETL flows in Microsoft Fabric (Dataflows Gen2, PySpark Notebooks, Pipelines) on Azure Cloud
Implement BI-oriented data models following Kimball / Snowflake methodologies
Develop fact tables, dimensions, and aggregates in the Data Warehouse according to priorities and planning
Ensure the quality, reliability, monitoring, and performance of processes and data flows
Manage monitoring, traceability, alerts, and error handling for data flows
Automate deployments using CI/CD (Azure DevOps or GitHub)
Work closely with the ICT team to ensure consistency across systems and solutions
Connect to various data sources (Oracle, SQL Server, XML, flat files, etc.), understand their structure, and optimize extraction
Comply with defined technical standards: naming conventions, security, governance, monitoring, CI/CD
Follow internal guidelines and procedures, both technical and organizational
Document processes and data flows thoroughly
Technical Skills
Microsoft Fabric: Lakehouse, Dataflows Gen2, Pipelines, Warehouse
Azure: Azure Data Lake, Azure Synapse (an asset)
Source databases: excellent command of Oracle and SQL Server (connection, extraction, query optimization)
SQL: advanced level
PySpark: distributed processing for large data volumes
DAX (basic knowledge)
Data warehouse concepts
Kimball modeling: Star Schema & Snowflake, Slowly Changing Dimensions (SCD)
ETL/ELT: best practices for sequencing and monitoring
CI/CD: Azure DevOps or GitHub Actions
Data security and governance on Azure
Knowledge of Sparx Enterprise Architect for documentation and modeling is an asset
Knowledge of Informatica Powercenter (or willingness to learn it) is a plus
Profile
Bachelor’s degree in Computer Science or equivalent experience
Minimum of 5 years of experience in Data Engineering, including at least 3 years working with Fabric on Azure Cloud
Proven mastery of the Kimball methodology for BI
Strong experience with Oracle and SQL Server databases
Ability to optimize performance and document processes
Ability to work collaboratively while following internal governance and procedures
FR/NL with a good passive understanding of the other language (mandatory)
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