Senior Data Engineer — Remote (Bengaluru Focus)

Remote; San Francisco (CA); Remote; USD 16,000 - 22,000; Full time

Job summary

Karat, the world's largest interviewing company, is seeking a Senior Data Engineer to design and maintain scalable data pipelines across product and operations. You will turn complex questions into durable data models and reliable pipelines, partnering with product, engineering, and analytics teams globally.

You will own data-pipeline architecture, monitor data quality, and improve the data stack (PostgreSQL, Redshift, Airflow, Terraform) while promoting data literacy and clear communication

Qualifications

• 5+ years of experience in data engineering or related roles.
• Strong experience building and improving production data pipelines.
• Expertise with relational and columnar databases and advanced SQL.

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 ownership of datasets.
• Help manage and improve our existing data stack, including PostgreSQL and Redshift databases, Airflow for orchestration, and Terraform for infrastructure management.
• Help strengthen data literacy across technical and non-technical teams through clear communication and thoughtful partnership.

Skills

SQL

Python

Airflow

AWS

Data modeling

Docker

Tools

PostgreSQL

Redshift

Terraform

Docker

Job description

Karat, the world's largest interviewing company, is seeking a Senior Data Engineer to design and maintain scalable data pipelines across product and operations. You will turn complex questions into durable data models and reliable pipelines, partnering with product, engineering, and analytics teams globally.

You will own data-pipeline architecture, monitor data quality, and improve the data stack (PostgreSQL, Redshift, Airflow, Terraform) while promoting data literacy and clear communication