Cloud Data Engineering Specialist
2 weeks ago
About the Role
As a senior data engineer, you will lead end-to-end implementations and collaborate with stakeholders to drive best practices in data engineering.
Key Responsibilities:
- Design, develop, deploy, and maintain scalable data solutions using Azure services.
- Collaborate with external providers to ensure high-quality deliverables.
- Develop expertise in Azure cloud services, including Azure Data Lake, Databricks, Fabric, Data Factory, and Machine Learning.
- Design and implement data pipelines and integration solutions incorporating SAP and Salesforce data.
- Ensure data accuracy, performance, and reliability across the ETL lifecycle.
- Provide technical guidance and mentorship to junior team members.
- Contribute to Agile development cycles and participate in sprint planning and delivery.
- Apply data management principles, including lakehouse architecture and DAMA capabilities.
Required Skills:
- Strong proficiency in Azure services, SQL, Python, and cloud-based ETL development.
- Azure certification: DP-203 (Azure Data Engineer Associate) or AZ-305 (Designing Microsoft Azure Infrastructure Solutions).
- Excellent analytical and problem-solving abilities.
- Strong communication and collaboration skills, with fluency in English.
Benefits:
This role offers an exciting opportunity to work on cutting-edge data engineering projects and contribute to the growth of our organization.
Others:
Our company is committed to providing a collaborative and dynamic work environment that encourages innovation and creativity.
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