Job Description

Role : Snr Java Developer

Max rate per day in GBP : 350 gbp

Working Model: 2-3 days a week onsite

Interview Process: 1 st level with Cognizant (basic screening) and 2 nd level with Sky

Working Location, Address: Sky office, Osterley, London

Working in the Data department within GST, our team works on various requirements for data processing capabilities across the business, including 3rd party streaming services.

Part of the role will include contributing towards improving the data platform itself, working on Microservices and Java components which make up the platform.

What you'll do

• Develop and maintain scalable, data-driven applications in Java, leveraging object-oriented programming principles.
• Actively contribute to requirements, taking the initiative to identify additional requirements, and take the lead on design workshops
• Pair with and/or mentor junior team members.
• Contribute to agile practices like estimations, proactively research topics, share and present your ideas and contribute to peer discussions.
• Work independently or utilise pair-programming approaches to implement and optimise microservices and distributed systems on GCP (GKE, PubSub, BigQuery, Dataflow) with containerisation tools like Docker and Kubernetes.
• Build and manage efficient data processing pipelines, employing streaming technologies and both relational/NoSQL databases.
• Write and execute comprehensive unit, integration, and non-functional tests to ensure code quality and system performance.
• Collaborate on continuous integration and delivery processes using Jenkins, adhering to best practices in Git-based version control and automated testing.
• Troubleshoot production issues, propose improvements, and stay current with emerging technologies to drive innovation in the platform.

What you'll bring

• Experience with Java and object-oriented programming concepts.
• Experience with data platforms, data processing frameworks and streaming technologies.
• Familiarity with microservices architecture and distributed systems.
• Exposure to Google Cloud Platform (GCP), particularly GKE, PubSub and BigQuery.
• Some experience working with relational and/or NoSQL databases.
• Knowledge of containerisation and orchestration (e.g. Docker, Kubernetes).
• Understanding of software engineering best practices, including version control (Git), CI/CD, and automated testing.
• Experience with unit testing, integration testing, and non-functional testing to ensure code reliability and system performance.
• Hands-on experience with Jenkins for CI/CD pipeline automation.
• Good problem-solving skills and a willingness to learn new technologies.
• Ability to identify areas for improvement and communicating problems to the team

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