Application Engineer developing modern lakehouse architecture solutions using Python for finance technology at Swiss Re. Collaborating with a dynamic team to enhance accounting processes and reporting.
Responsibilities
Design and develop data transformation services and data flows using Python/PySpark
Translate business requirements into technical specifications and implement robust solutions
Architect end-to-end applications that combine data elements from multiple domains and systems
Break down complex work into manageable tasks, estimate timelines, and plan delivery
Contribute to the design and implementation of robust application architecture
Implement high levels of test automation to ensure quality and reliability
Conduct peer code reviews and ensure adherence to best practices
Collaborate with stakeholders to understand requirements and advise on efficient solutions
Apply Agile Scrum and DevOps methodologies throughout the development lifecycle
Support operations during quarterly closing cycles
Ensure technical designs meet quality requirements for performance, reliability, and availability
Requirements
Bachelor's or master's degree in a relevant quantitative field (Computer Science, Mathematics, Engineering or equivalent)
6+ years of experience in designing and implementing reliable, scalable software through the full development lifecycle
Strong Python proficiency with hands-on experience in PySpark and SQL
Profound experience with Spark-based data lake technologies including Azure Databricks, Azure Data Factory, and Azure Data Lake
Expertise working with relational databases like Oracle/Postgres
Experience with integration technologies like REST/SOAP APIs
Experience with test-driven development practices (nice to have)
Knowledge of financial or accounting systems (nice to have)
Cloud platform experience beyond Azure (nice to have)
Experience working in international teams (nice to have)
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