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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