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Azure Cosmos DB Developer
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Job Title: Azure Cosmos DB Developer
Job Type
Contract · Inside IR35
Location
London — 1 – 3 days
Duration
6 months
Any Other Working Conditions
- Travel/on call/shifts - May include occasional travel between two customer offices in London and/or operate from either of the two offices
The Role
The role will be integral to realizing the customer’s vision and strategy in transforming some of their critical application and data engineering components. As a global financial markets infrastructure and data provider, the customer keeps abreast of the latest cutting technologies enabling their core services and business requirements. The role is critical in this endeavour by the means of enabling the technical and quality assurance thought leadership and excellence required for the purpose.
Your Responsibilities
- Develop cloud-native applications using Azure Cosmos DB (SQL API, Mongo API).
- Establish robust CI/CD pipelines through GitLAB DevOps to streamline delivery and reduce operational overhead.
- Design efficient data models tailored to NoSQL principles and application requirements.
- Write and tune queries to minimize RU consumption and improve response times.
- Implement indexing strategies and partitioning schemes for optimal performance.
- Develop efficient queries using Cosmos DB SQL syntax.
- Implement automated testing and unit test frameworks.
- Collaborate with solution architects and DevOps teams to integrate Cosmos DB into microservices.
- Ensure compliance with security, governance, and data protection standards.
- Design and implement Pyspark data pipelines on Microsoft Fabric.
- Write and maintain unit/ integration test using Pytest.
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Your Profile
Essential Skills/ Knowledge/ Experience
- Hands-on experience with Azure Cosmos DB including query optimization and throughput management.
- Thorough understanding of Cosmos DB Change Data Feed (CDF) and integration and debugging of Spark with Cosmos CDF.
- High technical proficiency with Cosmos DB SDKs (e.g.,.NET, Java, Python, Node.js).
- Thorough understanding of Spark distributed computing concepts.
- High technical proficiency in PySpark and Spark Concepts.
- Hands-on experience with Pytest.
- Experience with concurrency patterns, CLR, and scalable application design.
- Experience with SQL API and familiarity with other APIs.
- Strong understanding of partitioning, indexing, and consistency levels.
- Experience with Git, version control, and continuous integration tools.
- Strong goal-oriented outlook, problem-solving capabilities, written and verbal communication skills, and collaborative mindset to work with internal and external stakeholders.
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Desirable Skills/ Knowledge/ Experience
- Advanced proficiency in C#, ASP.NET, and.NET Core with strong object-oriented design principles.
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