Software Engineer II
Alation Greater Chennai Area
Job Description
"Unlock the power of data intelligence with Alation, where AI agents and trusted data converge to drive self-service analytics, cloud transformation, data governance, and AI innovation."
Alation is pioneering a new era of data intelligence, empowering organizations to make faster, smarter, and more confident decisions. As a Software Engineer II, you'll be at the forefront of this revolution, working on cutting-edge technologies that connect people and data.
With over $340M in funding and valued at over $1.7 billion, Alation has established itself as a leader in the industry, with more than 650 customers, including 40% of the Fortune 100. Join our winning team and be part of a movement that's changing the way businesses operate.
Why you should learn this:
The demand for skilled software engineers in the data intelligence space is skyrocketing, with a projected 30% growth rate in the next 5 years.
Expected Salary: $140,000 - $200,000 per year, depending on experience and location, with opportunities for stock options and bonuses.
How it works:
- Design and develop innovative software solutions that integrate AI agents and trusted data to drive self-service analytics, cloud transformation, data governance, and AI innovation.
- Collaborate with cross-functional teams, including product management, design, and QA, to deliver high-quality products that meet customer needs.
Core Concepts to Master
Data Engineering
Design and develop scalable data pipelines, data warehouses, and data lakes to support data-driven decision-making. Leverage technologies like Apache Beam, Apache Spark, and AWS Glue to optimize data processing and storage.
Machine Learning
Develop and deploy AI-powered models that drive insights and recommendations. Utilize frameworks like TensorFlow, PyTorch, and Scikit-learn to build and train models that integrate with Alation's data intelligence platform.
Cloud Computing
Design and deploy cloud-native architectures that leverage AWS, Azure, or Google Cloud Platform to support scalable and secure data storage and processing. Leverage containerization and serverless computing to optimize resource utilization and reduce costs.
Interview Questions (Beginner)
- Can you explain the concept of data warehousing and its importance in data-driven decision-making?
- How would you approach designing a data pipeline using Apache Beam?
- What are some common challenges you've faced while working with machine learning models, and how did you overcome them?
Job Overview
Advance Questions
- • How would you design a scalable and secure data lake architecture using AWS Glue and Apache Spark?
- • Can you describe a scenario where you had to integrate multiple data sources and create a unified data model?
- • How do you approach feature engineering and dimensionality reduction in machine learning models?