
Senior Data Engineer
6 days ago
Job Title: Senior Data Engineer
About the RoleWe are seeking a highly skilled and experienced Senior Data Engineer to drive the technical depth, accuracy, and instructional value of our training content.
This role is responsible for defining and validating learning content aligned to industry-recognized certification paths, providing technical guidance on data pipelines, lakehouse architecture, and ML/AI integration, and designing and reviewing labs and walkthroughs using Synapse, Data Factory, Databricks, and Cognitive Services.
Key Responsibilities:- Data Engineering: Define and validate learning content aligned to DP-203, AI-102, and DP-100 certification paths
- Technical Guidance: Provide technical guidance on Azure data pipelines, lakehouse architecture, and ML/AI integration
- Labs and Walkthroughs: Design and review labs and walkthroughs using Synapse, Data Factory, Databricks, and Cognitive Services
- Content Development: Translate AI/ML concepts into structured training materials
To be successful in this role, you will need:
- Deep hands-on experience in data engineering, including Azure Synapse, Data Factory, Databricks, Data Lake Gen2, Cosmos DB, and Event Hub
- Strong understanding of AI and machine learning concepts, including Azure OpenAI, Cognitive Services, and Azure Machine Learning Studio
- 7+ years of experience in roles such as data engineer, ML engineer, AI architect, or applied data scientist
- Proficient with Spark, Python, SQL, and REST APIs
- Ability to bridge technical concepts for instructional teams and content developers
The following skills are not mandatory but highly desirable:
- Certifications: DP-203, AI-102, DP-100
- Experience building or validating technical training content
- Familiarity with GitHub, markdown, Jupyter Notebooks, or SCORM
- Experience with prompt engineering and Azure OpenAI orchestration tools
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