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Key Responsibilities:
Must-Have:
Key Responsibilities:
- Design, develop, and orchestrate end-to-end data pipelines using Microsoft Fabric
- Build scalable and reusable data frameworks, including:
- Config-driven pipeline architecture
- Centralized configuration tables supporting multiple pipelines
- Develop and maintain Spark notebooks and pipelines
- Implement ETL/ELT processes using SQL, Spark, and Python
- Perform data modeling and transformations for analytics and reporting
- Collaborate with architectural and engineering teams to design robust solutions
- Ensure adherence to enterprise standards including:
- Confluence documentation
- CI/CD pipelines
- Code quality and deployment guidelines
- Support deployments across multiple client environments
- Own deliverables end-to-end with minimal supervision
Must-Have:
- 10 years of experience as a Data Architect
- Strong experience with Microsoft Fabric OR strong background in Azure Synapse Analytics with Azure data services
- Hands-on experience with: SQL, Data Modeling, ETL / ELT Pipelines
- Experience with Spark notebooks and pipelines or Python experience for data engineering use cases
- Proven ability to design and orchestrate scalable data solutions
- Experience working in environments with CI/CD processes
- Familiarity with enterprise documentation standards (e.g., Confluence)