SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Karat is the world's largest technical interviewing platform, serving companies like PayPal, Atlassian, and Citi. The Engineering team builds infrastructure, reporting, and data products that transform Karat's interview and performance data into meaningful insights.
As a Senior Data Engineer, you will design and build systems that make high-quality data available across the company. You will be a hands-on technical leader who turns ambiguous business and product questions into durable data models, reliable pipelines, and actionable information.
Key responsibilities:
- Design, build, test, deploy, and maintain scalable cloud-based data pipelines that ingest and transform data from product, operational, and third-party systems
- Own data-pipeline architecture, including orchestration, monitoring, reliability, performance, and data quality
- Develop workflows, transformations, and data models that transform raw data into useful, trusted, and actionable information
- Improve data quality through validation, observability, monitoring, and clear ownership of critical datasets
- Manage and improve the existing data stack, including PostgreSQL and Redshift databases, Airflow for orchestration, and Terraform for infrastructure management
- Strengthen data literacy across technical and non-technical teams through clear communication and thoughtful partnership
Note: This position requires a schedule that overlaps with U.S. business hours. The role is only available to candidates residing in Bengaluru (Bangalore), India, though the team operates 100% remotely.
Requirements:
- 5+ years of experience in data engineering, software engineering, machine learning, or related technical roles
- Strong experience building, operating, and improving production data pipelines
- Expertise with relational and columnar databases, including advanced SQL and dimensional data modeling principles (fact and dimension tables)
- Proficiency with Python, Docker, and workflow-orchestration frameworks such as Apache Airflow
- Hands-on experience with AWS or comparable cloud platforms
- Strong grounding in software-engineering practices, including version control, code review, testing, observability, and documentation
- Excellent written and verbal English communication skills, including the ability to collaborate effectively with globally distributed teams
