The DCS Data engineer is working with our client's manufacturing locations across the globe, and help them solve their data engineering, ML engineering, and cloud related problems.
Work with business locations who need professional help, understand business problem and design Cloud and Data solutions for them
Full-stack, Independent Problem Solving: our team is made up of people who are able to solve problems single-handedly, autonomously. It might include the set up your own cloud infrastructure, complete coding and response to the most unexpected questions from our partners.
Do full-stack if and when necessary: from infrastructure through application to keeping in touch with the business. This comes with a lot of responsibilities and even more freedom to make an impact.
Work collaboratively with teammates in a fast-paced environment.
BSc/MSc in Computer Science, Information Technology, Computer Engineering or related technical field or equivalent experience.
3+ years building and maintaining end-to-end data systems and supporting services. (Working experience in Manufacturing industry is a plus.)
Functional Knowledge: Passion for producing high quality Data Products and Solutions.
Intellectual curiosity and passion for learning new technologies & good collaboration skills.
Excellent Problem-solving skills and software development habits.
Experience working with cloud data technologies.
Experience with Cloud architectures (Azure), automation, microservices architectures
Strong Knowledge of Python, SQL, Linux, Experience of Integration via Azure Data Factory, APIs, Docker, Kubernetes,
Understanding and working experience with large data sets in SQL, DataBricks, Hadoop/Apache sparks, Azure Data Factory, Grafana or similar.
Experience working with No-SQL storage and databases such as Azure Storage/ Data Lakes/ Or Cosmos DB.
Knowledge of DevOps, CI/CD, and automation best practices.
Experience developing on Cloud platform (Azure, AWS) for continuous integration and automated deployments.
Knowledge and work experience with the following tools end components EventHubs, IOT Hubs, IIOT GW, Queues, Stream Analytics, PowerBI
Understanding event driven architecture patterns
Knowledge of Python/Java/Sparks or similar programming language