
The Data Architectural Expert
2 days ago
A challenging and rewarding role awaits an experienced Data Engineer to design, build, and optimize end-to-end data solutions using Microsoft's cutting-edge technology platforms. This talented individual will be responsible for implementing contemporary data architecture patterns, creating robust data pipelines, and delivering insight-driven analytics to support business decision-making.
Key Responsibilities:- Design and Implement Data Solutions: Utilize ADF, Microsoft Fabric, Synapse, and Databricks to develop scalable and efficient data solutions that meet the needs of clients.
- Build Data Models: Create data models for scalable data processing, endpoint processing, and integration to ensure seamless data flow.
- Develop and Optimize Data Pipelines: Design and implement real-time, batch, and BYOD (bring your own device) data pipelines to deliver timely insights to stakeholders.
- Create Semantic Models: Develop semantic models in Power BI to provide a unified view of business data.
- Build Enterprise Dashboards: Design and implement enterprise-level dashboards, paginated reports, and self-service analytics solutions to empower users with data-driven insights.
- Implement Row-Level Security: Ensure secure access to sensitive data by implementing row-level security measures and complex DAX calculations.
- Apply DataOps Practices: Implement data operations best practices to monitor and tune data performance, ensuring optimal system efficiency.
- Ensure Data Security & Quality: Guarantee the integrity and accuracy of data by enforcing robust security and governance protocols.
- Integrate Predictive Analytics: Leverage Azure ML to integrate predictive analytics capabilities, empowering users to make informed decisions based on data-driven insights.
- 5-7 Years of Experience: Possess a strong background in data engineering, with a minimum of 3 years of experience working with Microsoft technologies.
- Expertise in Microsoft Fabric & Azure Synapse: Demonstrate in-depth knowledge of Microsoft Fabric and Azure Synapse Analytics, as well as proficiency in Databricks, Power BI, and SQL.
- Strong Problem-Solving Skills: Showcase excellent problem-solving abilities, with a proven track record of implementing medallion architecture and enterprise BI solutions.
- Microsoft Certified: Hold certifications in Azure Data Engineer Associate, Fabric Analytics Engineer Associate, or Power BI Data Analyst Associate.
- Databricks Certified: Possess the Databricks Certified Data Engineer Associate certification.
- Bachelor's Degree: Hold a bachelor's degree in computer science, data science, engineering, or a related field; a master's degree is preferred.
- Excellent Communication Skills: Exhibit exceptional communication and client-facing skills, with the ability to effectively convey technical information to non-technical stakeholders.
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