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Senior Data Science Engineer
Dunnhumby
Gurgaon, Haryana, IndiaOn Site
Original Job Summary
About dunnhumby
dunnhumby is the global leader in Customer Data Science, empowering businesses to compete in a modern data-driven economy. We put the Customer First and have deep expertise in retail.
Role Overview - Senior Data Science Engineer
We are seeking a Senior Data Science Engineer (Automation Engineer) to automate project workflows, manage deployment pipelines, and optimize operational efficiency using advanced AI techniques and automation.
What You’ll Do
- Automate Python/Pyspark codes for data workflows.
- Collaborate with data scientists to refactor notebooks into production-ready systems.
- Design and implement scalable data pipelines with AI-driven automation.
- Build tools such as job schedulers, version control and monitoring solutions.
- Work closely with teams to identify AI-driven process improvements.
Key Skills/Competency
- Data Science
- Automation
- Python
- Pyspark
- AI
- Cloud
- Git
- Docker
- Kubernetes
- FastAPI
What You Can Expect
Enjoy a comprehensive rewards package, flexible working hours, and personal flexibility, along with cutting-edge technology investment and a nurturing inclusive culture.
Our Approach to Flexible Working
dunnhumby values work/life balance and is open to discussing agile working opportunities during the hiring process.
How to Get Hired at Dunnhumby
🎯 Tips for Getting Hired
- Research dunnhumby's culture: Understand their customer-focused, data-driven mission.
- Tailor your resume: Highlight automation and AI project experience.
- Showcase technical skills: Emphasize Python, Airflow, Docker and Kubernetes experience.
- Prepare for interviews: Practice technical and behavioral questions.
📝 Interview Preparation Advice
Technical Preparation
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Review Python scripting and Pyspark basics.
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Practice building scalable data pipelines.
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Familiarize with cloud deployment strategies.
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Learn containerization with Docker and Kubernetes.
Behavioral Questions
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Discuss teamwork in automation projects.
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Explain problem-solving in pipeline development.
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Show adaptability in learning new technologies.
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Describe handling project challenges effectively.