
Chief Data Architecture Specialist
3 days ago
As a seasoned data engineering professional, you will play a crucial role in designing and developing large-scale data processing systems.
Key Responsibilities:
- Design, develop, and deploy scalable data processing architectures
- Develop real-time and close-to-real-time data integrations using Kafka, MS Event Hubs, and other relevant tools
- Collaborate with cross-functional teams to gather requirements, design, and implement business intelligence dashboards and data models using PowerBI, Azure SQL, and Azure Synapse
- Ensure data security, integrity, and quality by implementing robust data governance practices and monitoring data pipelines for performance and scalability issues
Requirements:
- Bachelor's degree in Computer Science, Information Technology, or a related field; Master's degree is preferred
- At least 5+ years of experience in Data Engineering with extensive knowledge of SQL, Azure Data Factory, Data Bricks, MS Synapse, Python, or other relevant tools
Preferred Skills:
- Experience with cloud-based data warehousing and big data analytics platforms (e.g., Azure Synapse Analytics)
- Knowledge of containerization tools like Docker and Kubernetes
- Strong understanding of data modeling, data architecture, and data governance principles
Benefits:
This role offers a unique opportunity to work on cutting-edge technologies and collaborate with experienced professionals in the field.
Others:
Please note that we are looking for a highly skilled and motivated individual who is passionate about data engineering and willing to learn and grow with our organization.
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