
Data Engineer for Cloud Data Platforms
1 day ago
Job Summary
We seek a skilled Data Engineer to design, implement, and integrate complex data sources into our Azure Data platform.
About the RoleThe Data Engineer will work closely with cross-functional teams to develop rapid prototypes that demonstrate data value and present them to diverse audiences.
Responsibilities:- Data Analysis: Review and analyze structured, semi-structured, and unstructured data sources for quality, completeness, and business value.
- Rapid Prototyping: Design, architect, implement, and test rapid prototypes that demonstrate data value.
- Partnership: Participate in early-stage design and feature definition activities.
- Data Pipelines: Implement robust data pipelines using the Microsoft and Databricks stack.
- Scalability: Create reusable and scalable data pipelines.
- Integration: Collaborate with team members across multiple engineering teams to support the integration of prototypes into core intelligence products.
- Communication: Convey complex data insights effectively to non-technical stakeholders.
- Project Management: Manage multiple projects collaboratively in cross-functional teams.
- Technical Skills: Advanced knowledge and experience with relational and non-relational databases.
- Big Data Experience: Experience building and optimizing Big Data pipelines, architectures, and datasets.
- Data Analysis: Strong analytical skills with structured and unstructured datasets.
- Azure Expertise: Hands-on experience with Azure Databricks and Spark for ETL pipelines.
- Tool Proficiency: Proficiency in data analysis, manipulation, and statistical modeling using Spark, Python, Scala, SQL, or similar tools.
- Tech Stack: Experience with Azure Data Lake Storage Gen2, Azure Data Factory, Databricks, Event Hub, Azure Synapse.
- Additional Tech: Familiarity with technologies like Event Hub, Docker, Azure Kubernetes Service, Azure DWH, API Azure, Azure Function, Power BI, Azure Cognitive Services.
- CICD: Azure DevOps experience for deploying data pipelines via CI/CD.
- Experience: Minimum 5-7 years of practical experience as a Data Engineer.
- Education: Bachelor's degree in computer science, software engineering, information technology, or a related field.
- Azure Experience: Experience with the Azure cloud stack.
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