Kapsch TrafficCom is a provider of intelligent transportation systems in the fields of tolling, traffic management, smart urban mobility, traffic safety and security and connected vehicles. As a one-stop solutions provider, Kapsch TrafficCom offers end-to-end solutions covering the entire value creation chain of its customers, from components and design to the implementation and operation of systems. The mobility solutions supplied by Kapsch TrafficCom help make road traffic safer and more reliable, efficient, and comfortable in urban areas and on highways alike while helping to reduce pollution.
We are looking for a Full-time Data Architect.
Lead architecture, design, troubleshooting and tuning of both the SW and HW empowering the Data Analytics processes across the organization such as databases and large-scale processing systems.
Design and implement effective tools to extract and scrape data from different sources like the web, API's or Open Data portals.
Maintaining and versioning the datasets used in the training of our machine learning-based products.
Recommend solutions to improve new and existing database systems.
Monitor and optimize the performance of our data pipelines.
Define security and backup procedures.
Train new users and support them on the use of the data analytics infrastructure.
Contribute to developing the vision and strategy of the application of Data Analytics to our products.
What we're looking for:
3 to 5 years of proven relevant experience.
Hands-on experience with relational SQL, NoSQL and in-memory databases such as Cassandra, Postgres, REDIS, or HP Vertica.
Proven experience using Cloud-based platforms such as Azure or AWS to build cost-effective architectures that empower our software services.
Experience building and optimizing ‘big data’ data pipelines and architectures. Apache ecosystem expertise is preferred (Apache Spark, Kafka, Zookeeper, etc.).
Working experience building tools capable of scraping data from the web or extracting data from API’s, Open Data Portals, etc.
Working knowledge of message queuing, stream processing, and highly scalable data stores: Apache Kafka, Apache Pulsar, Kafka-connect, etc.
Experience with GIS tools and spatial data management.
Expert know-how on building an optimal technological stack for each use case by analyzing and benchmarking different data storage/analytics solutions.
Experience with container technologies such as Docker and/or Kubernetes.
Experience with cloud services such as Azure or AWS.
Experience with object-oriented/object function scripting languages preferably Python and Java.
Ability to think strategically about business, product, and technical challenges in an enterprise environment. Leadership and innovation around Data Analytics.
Experience working in an agile environment.
Excellent oral and written communication skills in English.
Good to have:
Experience with Machine Learning and Deep Learning related libraries and platforms (sklearn, dask, tensorflow, etc.).
Experience designing and developing Data Marts and/or using IoT plaforms.
Good knowledge of challenges, issues and good practices around data privacy.
We offer the possibility to work in an international company that operates in a dynamic industry where the work environment favors the professional growth of our employees.