Focus on designing and building data infrastructure and systems to enable efficient data processing and analysis
Job Summary
Focus on designing and building data infrastructure and systems to enable efficient data processing and analysis.
Responsible for developing and implementing data pipelines, data integration, and data transformation solutions.
Play a key role in designing, developing, and optimizing data solutions using Microsoft Fabric and Azure services, while contributing to cutting-edge data architecture strategies.
Matching Summary
Focus on designing and building data infrastructure and systems to enable efficient data processing and analysis.
Skills & Requirements
Must-have
Microsoft Fabric and Azure services
Azure Synapse, Synapse Spark, Azure Data Factory
CI/CD using Azure DevOps and Git
Data Mesh, Data Warehouse, Lakehouse architectures
T-SQL, PySpark, Python, Scala, Power Query M, DAX
Power BI and Power Automate Apps
Nice-to-have
Consulting or client-facing project delivery
Strong analytical thinking and problem-solving
Excellent communication and collaboration abilities
Passion for innovation and continuous learning
Key Requirements
4-6 years of experience in data engineering
Experience in cloud data engineering
Experience within the Microsoft ecosystem
Familiarity with CI/CD pipelines
Familiarity with version control and agile development
Understanding of modern data architecture principles