Data Engineer
Numerator · India
Technology, Information and Internet · 5,001-10,000 employees
About the role
The role involves delivering high-quality code for a global big data processing platform and implementing data engineering best practices. Responsibilities include building and maintaining automation test suites within Azure DevOps and mentoring junior team members.
What they look for
Requirements
Candidates should be proficient in modern software engineering practices and capable of delivering tested, high-quality code. Experience with Azure DevOps and various testing methodologies is required to achieve sprint goals.
Full description
We’re currently looking for an Data Engineer to join our development team engaged in delivering a key global big data processing platform for Worldpanel by Numerator – a key element of our business strategy. One of our continuous goals will be to secure a smooth and efficient transition to a more digitally focused cloud environment. In this role, you will be responsible for supporting its delivery, as well as for implementing the best data engineering practices while also mentoring more junior elements. This will also be a great opportunity to work with the latest tech and modern software engineering practices.
If you’re willing to go beyond the obvious, using intelligence, passion and creativity to inspire new thinking and shape the world we live in, apply for a career that’ll be out of the ordinary by joining us!
In this role you will:
- Be responsible for the delivery of tested, high quality code
- Adhere to coding standards and implementation of Kantar Technology standards
- Build suitable automation test suites within Azure DevOps
- Maintain and update automation test suites as required
- Carry out manual testing, load testing, exploratory testing as required
- Work closely with Bas and Senior Data Developers to consistently achieve sprint goals
- Assist in estimation of sprint-by-sprint stories and tasks
- Pro-actively take a responsible approach to product delivery
