Your Job Support team lead with team capacity planning (short midterm planning), e.g.
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estimation of new backlog items, planning of iterations and refinements, program increment plannings (PI plannings).
Accountability for consistent implementation of solution design within the development team, e.g.
usage of technical standard solutions.
Accountability for quality assurance of the refined and implemented technical solutions with respect to quality goals, e.g., scalability, maintainability, security.
Evolving our data-intensive applications with respect to automation, monitoring, performance for our globally used core business applications hosted in Azure.
Collaborating with the solution architects in the team to support the mid-term evolution of new cloud based solutions Interfacing with the central team of BDAP (Big Data Platform) and related services (Cloud Center of Excellence, Networking, IT Security) to continuously improve the systems in your responsibility Developing data workflows and task using e.g.
Databricks.
Optimizing the estate with respect to operating cost of Azure resources Working with business units and Corporate Underwriting to plan and execute the release of new product versions Ensuring stable and secure operation of our cloud native application including third level support for the mentioned systems Cloud-Service troubleshooting including analyses and problem solving Oversee important operating measures in collaboration with the release manager, e.g., replacement of certificates, rollover of secrets, monitor changes of breaking Azure changes Monitoring of cloud and DevOps infrastructure Development and maintenance of Azure DevOps pipelines, e.g., Azure DevOps YAML Create and update documentation for relevant components e.g.
data engineering pipelines Your Profile University degree preferably in Computer engineering / IT or similar qualification Demonstrated experience in software design and data architecture.
Proficient in managing compute-intensive, data-driven, and large-scale systems, with an emphasis on state-of-the-art security practices.
Expert on developing data engineering pipelines with Databricks.
Strong understanding of Azure services, including but not limited to Azure Data Factory, Databricks, Azure Data Lake, Azure Blob Storage, Azure Functions/App Services, Azure SQL, SignalR, CosmosDB (Gremlin/SQL), and API Management.
Familiarity with Data Vault modeling and the Delta Lake storage format is highly desirable.
Flexibility and bringing a curious and creative mindset, open to new things and able to propose innovative ideas Customer focus, willingness to understand the reinsurance business domain and become a trusted expert partner to our users Commitment and desire to drive topics and for life-long learning Experience in agile way of working perspective in a highly regulated IT environment from an a DevOps perspective