What the Candidate Will Do
Collaborates with team members to develop and maintain data tools and solutions (e.g., pipelines, models, tables) to acquire, process, and store data. This role also designs and develops large-scale data systems (e.g., databases, data warehouses, big data systems), platforms, and infrastructure for various analytics and business applications.
- Build Data Products for business use cases - batch & real time
- Metrics development for the analytical needs
- Optimizations & improvements focussed on optimal resource utlization, improve SLA and adhere to the data quality standards.
- Mentor the fellow engineers on design & architecture, perform quality code review and design reviews for the data product development.
- Contribute to the strategic investments both from inception and execution point of view.
- Consult and advise the product engineering teams on the data engineering practices.
Basic Qualifications
- Bachelor's degree in Computer Science or related technical field or equivalent practical experience
- Experience coding using general purpose programming language (eg. Java, Python, Go, Javascript, Fusion)
- Expert in data tech stack eg: Spark, Hive
Preferred Qualifications
- Data warehouse experience
- Expertise in data tech stack: Spark, Hive
- Scripting and programming skill