Software Developer (f/m/d) For Data Management Applications
Carl Zeiss Pty Ltd
Budapest, Hungary
On-site
Python/java/scala development skills
Microsoft azure cloud experience
Spark-based data transformations
Carl Zeiss Pty Ltd is seeking a Software Developer for Data Management Applications in Budapest, Hungary. The role involves developing Data Lifecycle Tools to facilitate digital transformation and requires expertise in data management technologies, collaboration with various stakeholders, and a strong software development background
Job Summary
You will play a crucial role in developing Data Lifecycle Tools to support data, metadata and knowledge management in operations.
You will build highly scalable technical solutions for the automated consolidation, processing and governance of large amounts of data.
You automate and deploy data transformation pipelines on the provided Azure Data Platform.
Matching Summary
Match Score: 85
Carl Zeiss Pty Ltd is seeking a Software Developer for Data Management Applications in Budapest, Hungary. The role involves developing Data Lifecycle Tools to facilitate digital transformation and requires expertise in data management technologies, collaboration with various stakeholders, and a strong software development background.
Skills & Requirements
Must-have
Python/Java/Scala development skills
Microsoft Azure cloud experience
Spark-based data transformations
Data API productionalization
Data Modelling and Pipeline Orchestration
Container-based applications (Kubernetes)
Infrastructure as code (Terraform)
Distributed, multi-service architectures
Agile Software-development (Scrum/Kanban)
Continuous integration/delivery best-practices
Dataset abstractions and metadata management
Nice-to-have
Goal-oriented mindset
Strong ownership for developed products
Customer-oriented mindset
Independent and conscientious work style
IT consultancy experience
Monitoring and Logging experience
Key Requirements
3-7 years of relevant professional experience in IT
Excellent university degree in computer science, business informatics, mathematics or related field