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.
Collaborate with business and analytics teams to gather data requirements and translate them into reliable datasets for reporting and advanced analytics.
Matching Summary
Focus on designing and building data infrastructure and systems to enable efficient data processing and analysis.
Skills & Requirements
Must-have
Microsoft Fabric components
design and build data infrastructure
develop and optimize notebooks (PySpark)
implement CI/CD pipelines
data governance compliance
Nice-to-have
modern data architecture roadmap
continuous improvement
DataOps practices
version control (e.g., Git)
Key Requirements
8+ years of experience in Data & Analytics
Bachelor’s or Master’s degree
Proficiency in SQL, PySpark, and Power BI
Experience with Microsoft OneLake, Dataflows Gen2, Synapse Engineering in Fabric, and DirectLake connectivity