Looking for an astute, proficient and qualified Senior Data Engineer to assess, analyze and work with data concepts, use-cases & complex new data sources to provide business insights to customers and support the implementation & integration of the data sources into the Presight platform.
The opportunity
To play a critical role in the development of high-performance data solutions & information products at Presight.
Presight, an ADX-listed public company limited by shares whose majority shareholder is Abu Dhabi company G42, is the region\xe2\x80\x99s leading big data analytics company powered by Artificial Intelligence (\xe2\x80\x9cAI\xe2\x80\x9d). It combines big data, analytics, and AI expertise to serve every sector, of every scale, to create business and positive societal impact. With its world-class computer vision, AI and omni-analytics platform as its engine, Presight excels at all-source data interpretation to support insight-driven decision making that shapes policy and creates safer, healthier, happier, and more sustainable societies.
Responsibilities
The candidate is expected to have a solid background on software development with strong python coding skills and solve challenging problems.
Developing Data pipelines with Cloud Services & On-premise Data Centers.
Web crawling, data cleaning, data annotation, data ingestion and data processing.
Reading and collating complex data sets
Creating and maintaining data pipelines
Continual focus on process improvement to drive efficiency and productivity within the team
Use of Python, SQL, ES, Shell etc. to build the infrastructure required for optimal extraction, transformation, and loading of data
Provide insights into key business performance metrics by building analytical tools that utilize the data pipeline
Support the wider business with their data needs on an ad hoc basis
Open to extensive international business travel as and when required, and for extended periods
Skills and attributes for success
The yardsticks of your performance would include cost savings achieved, number of data systems adhering to architecture standards, adherence to policies, procedures & quality standards, number of innovations/POCs deployed, database throughput, and customer NPS.
Bayt
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