Partnered with a Global Specialist Cloud Consultancy working with various household brands who are on the ramp up to upscale their Machine Learning & Data Science capabilities and looking to build out top tier resources in this area of speciality in a Senior and Principal capacity.
Role Requirements:
* Extensive experience designing and leading the development of large-scale distributed data and/or ML backend systems.
* Hands‑on experience with ETL pipeline design and optimization for complex data sets is a strong advantage.
* Deep familiarity with technologies such as Apache Beam, Pub/Sub, Redis, and other large-scale data processing frameworks.
* Expertise in backend development with Python and Scala; knowledge of Node.js or Golang is a plus.
* Proficient with both SQL and NoSQL databases, and experience with data warehousing solutions.
* Demonstrated experience building robust APIs (REST, GraphQL) and operating in modern cloud environments (GCP preferred), using Kubernetes, Docker, CI/CD, and observability tools.
Skills/Experience:
* Excellent communication and strong level of consulting/client‑facing experience.
* Comprehensive understanding of Data landscape and proactive nature in staying up to date with latest market trends.
* Business focus and outcome oriented.
* Capable of working independently and as part of a team setting.
If this role aligns with your career aspirations and you’d like to know more please share your CV and availability for a call to ankush.agarwal@harveynash.com
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