Data Scientists - Dubai, United Arab Emirates - Ruaa Data Management Services

Description

Your challenges as a data scientist You will be designing, developing, testing and documenting the data collection framework.

The data collection consists of (complex) data pipelines from (IoT) sensors and low/high level control components to our Data Science platform.

You will build a monitoring solution of data pipeline which enables data quality improvement.
You will develop scalable data pipelines to transform and aggregate data for business use, following software engineering best practices.

For these data pipelines you will make use of the best frameworks available for data processing like Spark and Splunk.

You develop our data services for customer sites towards a product, using (test & deployment) automation, componentization, templates and standardization in order to reduce delivery time of our projects for customers.

The product provides insights in the performance of our material handling systems at customers all around the globe.
You design and build a CI/CD pipeline, including (integration) test automation for data pipelines. In this process you strive for an ever-increasing degree of automation.
You will work with infrastructure engineer to extend storage capabilities and types of data collection (e.g. streaming)
You have experience in developing APIs.
You will coach and train the junior data engineer with the state of art big data technologies.
What do we expect from you
Bachelor s or Master s degree in Computer Science, IT or equivalent with at least 7 years relevant work experience
Programming in Python/Scala/Java
CI/CD, Data/Code testing (e.g., Bamboo, Artifactory, Git)
Data Schema s (e.g. JSON/XML/Avro)
Storage formats (e.g. Azure Blob, SQL, NoSQL)
Scalable data processing frameworks (e.g. Spark)
Event processing tools like Splunk or the ELK stack
Deploying services as containers (e.g. Docker and Kubernetes)
Streaming and/or batch storage (e.g. Kafka, Oracle)
Working with cloud services (preferably with Azure)

Desired Candidate Profile

Education:
Any Graduation


Gender:
nm


Nationality:
Any Nationality