Software Backend Engineer (f/m/d) for Data Management applications

 

You will play a crucial role in developing Data Lifecycle Tools to support data, metadata and knowledge management in operations. In this way, you actively contribute to the success of the digital transformation at ZEISS, driven by ZEISS Digital Partners.

 

Given the ZEISS-wide and inter-disciplinary relevance of Data Lifecycle Management, you will closely collaborate with stakeholders from ZEISS business units and from ZEISS Digital Partners.

Your direct roles and responsibilities are:

You will build highly scalable technical solutions for the automated consolidation, processing and governance of large amounts of data - from conception to prototyping to operations (batch and streaming)You will evaluate the latest trends and technologies, help shape our architecture decisions including the DevOps / DataOps processes and drive innovative solutions for data lifecycle management in the governance, analytics/machine learning contextYou contribute to ensuring continuous quality, reusability and performance improvement and take responsibility for applications and stakeholders during development, commissioning and operationYou automate and deploy data transformation pipelines on the provided Azure Data PlatformYou coordinate and monitor team efforts to establish a (clean-code) and test-driven Software Development setting, support software releases and stable operationsYou investigate user needs and define user flows that help to develop user-centric technical solutions

Requirements:

· Excellent university degree in computer science, business informatics, mathematics or in a related field

·  3-7 years of relevant professional experience in IT:

Professional development skills in Python/Java/ScalaExperience with Cloud technologies like Microsoft AzureDistributed processing frameworks: Spark-based data transformations (Databricks, Data Factory), search engines (Elastic), graph databases and analytical or in-memory database systems (SQL and No-SQL)Productionalising and publishing data services as scalable, performant Data APIsStrong Experience in Data Modelling, Pipeline Orchestration and Scheduling (ex: Airflow) and Data Artifacts deployment (ex: Azure DEVOPS, Gitlab)Professional Experience in multiple forms of Data Storages (Azure Blob, Synapsis) and their interrogation (SQL)Extent development of serverless (Azure Data Factory, Synapse Analytics) or container based applications (Kubernetes)Cloud-based development artifacts (Terraform)Agile Software-development using Scrum / KanbanBest-practices and implementation for continuous integration / deliveryTechnical development and integration of User-Request Workflows through reusable Rest APIsExperience with Monitoring and Logging is a plus (Elastic, Datadog, witboost)

· A strong ownership for developed products

· A strong customer-oriented mindset, UI/UX experience is a plus

· An independent, conscientious and solution-oriented way of working

· Fluency in English

Your ZEISS Recruiting Team:

Bartha Györgyi, Fedor Fanni, Meláth Laura, Sturcz Noémi, Sztaskó Daniella, Wenner Lili