28 days ago
Bengaluru, IndiaStaff+
Responsibilities
- Design and build robust data solutions for analytics.
- Design and optimize data pipelines and data solutions.
- Contribute to data engineering projects across different stages of delivery.
- Participate in technical design reviews and provide constructive feedback.
- Collaborate with business stakeholders to prioritize data projects.
- Work with internal staff and external partners in a global data engineering environment.
- Establish effective practices, documentation, and workflows.
- Improve data quality, reliability, data lineage, and governance.
Requirements
- 5+ years of relevant experience in data engineering or related fields.
- Experience working in and supporting data engineering teams.
- Proficiency in one or more programming languages such as Python, SQL, or DBT.
- Experience with at least one major cloud platform: AWS, GCP, or Azure.
- Familiarity with CI/CD and DataOps practices.
- Bachelor's, master's, or PhD in Computer Science, Information Technology, Engineering, or a related discipline.
Tech Stack
Categories
Data Engineering
About Dyson
Dyson designs and sells consumer appliances and electronics, including bagless vacuum cleaners, air treatment products, haircare tools, hand dryers, lighting, and home robots, for households and commercial settings. The family-owned company was founded in 1993 by Sir James Dyson and has its global headquarters in Singapore, selling through its own stores, online, and major retailers in more than 80 markets.