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The Quality Assurance Engineer will conduct functional tests on existing and new features, implement automated testing for a live application, and ensure adherence to automated testing processes under a continuous testing model. This role involves test analysis, improvement of testing practices, code quality validation, and working within an agile team.

The Azure Databricks Data Engineer is responsible for building and maintaining optimized data ecosystems using Azure Databricks. Key tasks include designing and developing data pipelines, ensuring data quality, collaborating with data teams, and integrating Azure services, while staying updated on industry trends.

The Atlassian Sales Engineer serves as a key technical and sales expert, facilitating the adoption of Atlassian solutions by conducting tailored demonstrations, managing the sales cycle, and acting as a trusted advisor to clients on licensing options.

The role involves leading and managing client projects by utilizing expertise in Project Management and Business Consulting. Responsibilities include overseeing project timelines and budgets, developing sales proposals, identifying innovative service approaches, and mentoring junior consultants.

The role involves designing, developing, and maintaining backend services in a client-server environment, focusing on a mission-critical product. The developer will utilize Java and Oracle databases, as well as manage integrations across multiple systems to ensure data consistency.

The role involves designing, building, and maintaining efficient code, participating in code reviews, and suggesting improvements in coding practices.

The Data Engineer will develop and maintain applications using Apache Flink, focusing on performance optimization, Flink cluster setup, monitoring, and issue resolution. They will document processes and conduct knowledge transfers to ensure internal teams can manage and expand systems effectively.