The engagement requires an experienced data engineer to take end-to-end responsibility for a scalable enterprise-grade data platform on Azure, from architecture and implementation through testing, documentation and delivery, supporting AI, machine learning and advanced analytics.
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Software Engineering
Senior Azure Data Engineering ExpertNew!
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Andishi
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Description (Public)
Duties, Roles and Responsibilities
- Design and implement scalable Azure-based data engineering architectures.
- Build enterprise-grade data platforms handling structured and unstructured datasets.
- Develop batch and real-time data processing solutions and ETL/ELT pipelines.
- Integrate internal systems, external APIs and cloud services.
- Develop advanced SQL queries, stored procedures, database functions and data models.
- Prepare data infrastructure to support AI, machine learning and advanced analytics.
- Improve platform performance, reliability, scalability and cost efficiency.
- Test, document and hand over production-ready solutions.
Qualifications, Education and Competencies
Qualifications & Experience:
- Strong professional experience in data engineering with Azure cloud services.
- Proven delivery of enterprise data platforms and production data pipelines.
- Advanced SQL and data modelling experience.
- Experience preparing data infrastructure for AI and machine learning workloads.
- Independent contracting experience with end-to-end delivery responsibility.
Skills & Competencies:
- Autonomous working style and sound technical decision making.
- Complex problem solving and troubleshooting.
- Clear technical documentation and communication.
- Reliability in delivering to agreed timelines.
How to Apply
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