As a Senior Application Engineer in our Product Area, you will contribute to the development of a modern lakehouse architecture build on Azure Datalake using Python to implement business services. You will implement business functionality that enables our customers to run their accounting processes and generate data to meet their reporting needs. You will design, develop, automate, and support backend applications that combine data elements from multiple domains and systems. You will leverage innovative technologies and frameworks to enable scalable and efficient processing.
Key tasks:
• Understand business requirements and convert them into technical specifications
• Hands-on coding in Python /PySpark
• Oversee the end-to-end application architecture
• Drive the design and build of business services that create financial data by combining input from various sources
• Take ownership for the based implementation of functional and non-function requirements. Ensure a high level of test automation
• Coach junior team members and peer reviews
• Ensure timely customer communication and coordination of follow-up activities
• Apply and implement Agile Scrum and DevOps standard methodologies
• Contribute to the operations during quarterly closing cycles???????
• Running, maintaining and improving the existing application landscape
As a successful candidate for this role, you possess
• Bachelor's or master's degree in a relevant quantitative field, e.g. Computer Science, Mathematics, Engineering or other equivalent
• 8+ years of experience in designing and implementing reliable and scalable software through the full software development lifecycle using modern IDEs, code management and automation tools. Hands-on experience with test driven development
• Deep know-how in application development (preferably with Python or Java)
• Strong understanding of software engineering techniques with modern programming languages and analytical frameworks. Proficient in Python, PySpark, SQL
• Proficiency in Spark based data lake & extended services like, Azure Databricks, Azure Data Factory, Azure Data Lake is a must have
• Expertise working with relational databases like Oracle/Postgres
• Problem-solving skills and commitment to quality and timely delivery
• Strong interpersonal, written, and verbal communication skills, including clear articulation of technical topics to a non-technical audience
• fluent in English (German is a plus)