The job description for MS Fabric Data Engineering Lead includes the following qualifications and responsibilities:
Duties and Responsibilities:
Lead the design and implementation of data architecture using Microsoft Fabric, including OneLake, Data Factory, Synapse, and Power BI.
Develop and govern data pipelines, lakehouse architecture, and semantic models.
Define best practices for data integration, transformation, and orchestration using Fabric and related Azure services.
Collaborate with stakeholders to understand business requirements and translate them into scalable data solutions.
Mentor data engineering teams and establish architectural standards and guidelines.
Ensure data quality, governance, and security across the data lifecycle.
Stay updated with new Fabric features and capabilities and assess their relevance to ongoing projects.
Ensure data quality, governance, and security across the data lifecycle.
Technical Skills Required:
Proven experience in data architecture and engineering on Microsoft Azure.
Hands-on experience with Microsoft Fabric (e.g., OneLake, Data Engineering in Fabric, Data Factory, Synapse, Power BI).
Strong understanding of lakehouse paradigms, Delta Lake, and data mesh concepts.
Proficiency in SQL, Python, and Spark for data processing and transformation.
Experience with CI/CD and DevOps practices for data engineering.
Familiarity with data governance tools like Purview is a plus.
Well versed with Waterfall, Agile, Scrum and similar project delivery methodologies.
Experience Required:
Job details are sourced from the employer's original posting.
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Zensar is a leading digital solutions and technology services company that helps global organizations reimagine their businesses for the digital age.