Job Title Development Engineer of Data Analytics (ML + Data Engineering)
We’re looking for a Development Engineer of Data Analytics (ML + Data Engineering) to join our Hue Analytics S/w team in Bangalore.
Working for Signify means being creative and adaptive. Our culture of continuous learning and commitment to diversity and inclusion creates an environment that allows you to build your skills and career. Together, we’re transforming our industry.
As the world leader in lighting, we’re constantly ahead of the curve. Through our leadership in connected lighting and the Internet of Things, we’re breaking new grounds in data analytics, AI, and smart homes, offices, cities and more!
Signify is one of the few companies in the world to achieve carbon neutrality and our next sustainability goals are even bolder: doubling our positive impact on the environment and society by 2025.
As a Development Engineer you’ll be responsible for design, develop and maintain data analytics use cases using data mining, statistics and machine learning skills while complementing it with necessary software development.
We’re on the lookout for forward-thinking innovators with a passion for sustainability. If you match this description, get in touch!
What you’ll do
1. Design, develop and maintain data analytics use cases using data mining, statistics and machine learning skills while complementing it with necessary software development.
2. Follow Agile/SAFe way of working and other Organization wide software development lifecycle practices
3. Contribute to software engineering and data analytics tools/methods on a day to day basis to improve the efficiency and effectiveness of the Data Analytics team.
4. Together with SW architect, review the architecture and create the technical design needed for implementation
5. Develop new features end to end through prototyping, validation, implementation, launch and further iteration in an agile environment
6. Safeguard the code quality and architecture
7. Working alongside an excellent , cross-functional team , build technical solutions that enable continuous delivery and provide exciting new functionality with the highest quality
8. Keep abreast of technical developments in own field and proactive knowledge sharing with others
9. Achieve expert understanding of the end-to-end architecture and ecosystem of the Product in Focus, Cloud systems and services
10. Analyse and investigate field issues; drive root cause analyses
11. Maintain the end-to-end monitoring & alerting system; prescriptive & predictive analytics and diagnostics
Your qualifications
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