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 in reviewing and analyzing structured, semi-structured, and unstructured data sources for quality, completeness, and business value.
• You design, architect, implement and test rapid prototypes that demonstrate the value of the data and present them to diverse audiences.
• You participate in early state design and feature definition activities.
• You 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.
• You are a Team-Player, collaborating with team members across multiple engineering teams to support the integration of proven prototypes into core intelligence products.
• You transform ambiguity into clarity.
• You enjoy collaborating in a multicultural and diverse environment that expands to include various geographic locations.
• You have stellar communication skills, effectively expressing yourself. You convey and receive information in a clear, credible, and consistent manner.
Qualifications and Experience:
• Minimum 5 years of experience
• Bachelor’s degree in CS, Statistics, Information Systems, or another quantitative field.
• Knowled with a cloud stack.
• Telecom a government data set experien.
• Experience working in an Agile environment, CSD, CSM, SA, ASE
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)
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