data engineering lead

 Experience in troubleshooting and debugging Python, SQL (Oracle & other SQL platforms), SNS, SQS, Kinesis, C++, AWS Lambda 
 Strong Data Mining and Analytical skills required to encode sophisticated business transformation logic in a pipeline and serve predictive models
 Familiarity with the design, development and maintenance of best-in-class BI
capabilities, including data warehouse data structures and data pipelines (Redshift,
Athena etc)
 Familiarity of architectural design patterns for micro-services leveraging relational and big data technologies
 Familiarity with Agile development process
 Exceptional analytical thinking ability, ease with quantitative analysis, and excellent
problem-solving skills
 Self–discipline and willingness to learn
 Ability to make connections with technical and non-technical stakeholders
 Excellent verbal and written communication skills
Desirable
 Previous experience of managing a team
 Domain knowledge or experience working within the maritime or an adjacent industry
 Previous experience using C#, C++, and JAVA
 Experience of streaming or ‘real-time’ processing at high data volumes
 Familiarity of architectural design patterns for micro-services leveraging relational
and big data technologies
 Demonstrable experience working with Big Data environments
 Experience of the SAS Analytics platform of particular interest

experience

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