Principal Frontend Engineer
Acceldata Bengaluru, Karnataka, India
Job Description
"Unlock the secrets of data observability and take your frontend engineering skills to the next level as a Principal Frontend Engineer at Acceldata, pioneering the revolution in data management and observability."
As a Principal Frontend Engineer at Acceldata, you will be at the forefront of building a scalable frontend platform using React and TypeScript for a Kubernetes-native data product. Your expertise will be instrumental in designing intuitive UIs for Kubernetes cluster visibility, Spark job lifecycle management, and data pipeline observability and performance.
In this role, you will have the opportunity to work with a talented team of engineers to craft a seamless user experience that empowers data teams to manage products effectively, ensuring data quality, preventing failures, and controlling costs.
Why you should learn this:
The demand for skilled frontend engineers in the data observability space is growing exponentially, with companies like Acceldata leading the charge.
Expected Salary: $200,000 - $300,000 per year, depending on experience, with opportunities for stock options and bonuses.
How it works:
- Step 1: Learn the fundamentals of React and TypeScript, including component-based architecture, state management, and routing.
- Step 2: Dive deeper into Kubernetes and Spark, understanding how to design and implement scalable and efficient data pipelines.
Core Concepts to Master
Scalable Frontend Architecture
Design and implement scalable frontend architectures using React and TypeScript, leveraging techniques such as code splitting, lazy loading, and caching to ensure seamless user experiences.
Kubernetes and Spark Integration
Understand how to integrate Kubernetes and Spark into your frontend platform, ensuring seamless communication and data exchange between components.
Data Pipeline Observability and Performance
Learn how to design and implement intuitive UIs for data pipeline observability and performance, empowering data teams to manage products effectively and ensure data quality.
Interview Questions (Beginner)
- Can you explain the difference between React and Angular?
- How do you handle state management in a large-scale application?
- What is your approach to code reviews and testing?
Job Overview
Advance Questions
- • Can you design a scalable frontend architecture for a Kubernetes-native data product?
- • How do you ensure seamless communication between Kubernetes and Spark components?
- • Can you explain your approach to data pipeline observability and performance?