Skip to content
Home » Data Engineer

Data Engineer

  • Full Time
  • Dubai
  • 1000 - 10000 USD / Year
  • Salary: 1000 - 10000

Gtech Global Services

Data Engineer Jobs in Dubai

 

About the job

The Role

As a Data Engineer in our team, you will be responsible for assessing complex new data sources and quickly turning these into business insights. You will visually demonstrate data concepts and use-cases that will provide business value to our customers. You also will support the implementation and integration of these new data sources into our Big Data platform

 

Requirements

 

-You are detailed reviewing and analyzing structured, semi-structured and unstructured data sources for quality, completeness and business value.

-Design, architect, implement and test rapid prototypes that demonstrate value of the data and present them to diverse audiences.

-Participate in early state design and feature definition activities.

-Help to prove concepts, evaluate innovative technologies and contribute ideas to create actionable implementations.

-You use open source or readily available technology to generate visualizations from new data sources.

– Team-Player, collaborating with team members across multiple engineering teams to support the integration of proven prototypes into core intelligence products.

-Transform ambiguity into clarity.

-You enjoy collaborating in a multicultural and diverse environment that expands to include various geographic locations.

-Stellar communication skills, effectively expressing yourself. You convey and receive information in a clear, credible, and consistent manner.

 

Skills:

 

-Advanced working knowledge and experience with relational and non-relational databases

-Experience building and optimizing Big Data data pipelines, architectures, and data sets

-Strong analytic skills related to working with unstructured datasets

-A successful history of manipulating, processing, and extracting value from large disconnected datasets

-Working knowledge of message queuing, streaming processing, and highly scalable data stores

-Experience developing within the ELK stack(Elastic Search, Log Stash & Kibana)

 

Qualifications and Experience:

 

-Minimum 5 years of experience

-Bachelor’s degree in CS, Statistics, Information Systems, or another quantitative field.

-Knowledge/Experience with a cloud stack.

-Telecom and/or government data set experience/knowledge.

-Experience working in an Agile environment, CSD, CSM, SA, ASE

 

 

 

 

To apply for this job please visit www.linkedin.com.