Kynetec is a global leader in market research for animal health and agriculture, helping companies around the world understand the dynamics of their marketplace, turning data into business opportunities, and enabling our clients to create winning strategies.
We’re looking for a Back-End Software Development Engineer to join our globally distributed but close-knit team in creating, delivering, and maintaining our industry-recognised software-based solutions and platform.
You understand what it means to create a backbone for a system. Without your frameworks and APIs, core business requirements wouldn’t be met. Non-functional requirements are what you consider, and you know the questions to ask to ensure the system delivers to the appropriate capacity, securely and reliably.
These days it’s all about the movement, transformation, and presentation of data and you recognise this fact. You have at least 5 years’ experience developing serverless functions and microservices which manage and process data. You have also built up significant database experience both (relational and non-relational) holding very large volumes of data, and written database functions and Python scripts to process the data contained within them.
You can expect to be actively working on Kynetec’s data pipelines and data hosting platform. This will involve deep knowledge about databases and AWS, in particular AWS’ Big Data Services. Efficiency, quality, and automation are paramount to keep the data flowing to those who depend on it operationally, and those who consume it as part of the Kynetec Product Portfolio.
- AWS Certified Cloud Practitioner (Foundation)
- AWS Certified Developer (Associate)
- AWS Certified Big Data (Speciality)
Skills & Technologies
At least 5 years developing and maintaining large, distributed, highly available, highly scalable, event driven, serverless and microservice architectures
Migrating, transforming, and processing large volumes of data
Developing DAOs and APIs
Extensive practical experience using a wide range of AWS technologies, including: S3, EC2s, Lambda, Step Functions, Glue, EMR, API Gateway
Identifying and resolving bottlenecks and weaknesses in execution/process flows and pipelines
Working with PostgreSQL functions
Rule-based data processing
Logging and Monitoring of utilisation and flows
How to Apply
We guarantee discretion to all candidates.