Remote opportunity at
KaratSenior Data Engineer (India)
Karat's Engineering group builds the data platforms, reporting layers and infrastructure behind interview and performance insight. This full-time remote post for a Senior Data Engineer is…
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About This Role
Karat's Engineering group builds the data platforms, reporting layers and infrastructure behind interview and performance insight. This full-time remote post for a Senior Data Engineer is limited to candidates in Bengaluru, India, and requires working hours that overlap with U.S. business time. The engineer designs the systems that make trustworthy data available across the company. The engineer creates, tests, releases and maintains scalable cloud pipelines that pull records from product…
Job Description
Karat's Engineering group builds the data platforms, reporting layers and infrastructure behind interview and performance insight. This full-time remote post for a Senior Data Engineer is limited to candidates in Bengaluru, India, and requires working hours that overlap with U.S. business time. The engineer designs the systems that make trustworthy data available across the company.
The engineer creates, tests, releases and maintains scalable cloud pipelines that pull records from product tools, operations platforms and external vendors. Ownership covers pipeline design: scheduling, monitoring, dependability, speed and data quality. Work also includes transformations and data models that convert raw records into reliable, usable information, validation and observability for critical datasets, and upkeep of the existing environment, which includes PostgreSQL and Redshift, Airflow for scheduling and Terraform for infrastructure. The engineer also raises data fluency among technical and non-technical colleagues.
Applicants should have five or more years in data work, software work, ML or another technical discipline, including production pipeline experience. Advanced SQL and dimensional modeling with fact and dimension tables are expected, along with working skill in Python, Docker and orchestration tools like Apache Airflow. Hands-on time with AWS or a comparable cloud is needed. Disciplined habits in source control, peer review, testing, observability and documentation, plus clear English, complete the profile.
Responsibilities
- Create and maintain cloud data pipelines that deliver records from varied internal and external sources
- Own pipeline design: scheduling, monitoring, dependability, speed and data integrity
- Create transformations and data models that yield trusted, actionable information
- Raise data quality with validation, observability and clear stewardship of critical datasets
- Improve the data stack, which includes PostgreSQL, Redshift, Airflow and Terraform
- Strengthen data fluency through clear, collaborative work with technical and non-technical colleagues
Requirements
- Five-plus years in data or software engineering, machine learning, or adjacent technical work
- Proven background running and refining production data pipelines
- Advanced SQL plus dimensional modeling with fact and dimension tables
- Working knowledge of Python, Docker and workflow orchestration such as Apache Airflow
- Hands-on AWS or equivalent cloud experience
- Solid engineering habits: source control, reviews, testing, observability and documentation
- Clear English for collaborating with globally distributed teams
Qualifications
- Experience with relational and columnar databases
Core Skills
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Where must candidates live?
The posting limits the role to people who live in Bengaluru, India, and says other Indian cities are not being considered at this time.
What hours does the role need?
The schedule must overlap with U.S. business hours.
Which data tools does the role use?
The posting mentions PostgreSQL, Redshift, Airflow and Terraform, along with AWS and Python.
Is a salary listed?
The posting does not state a salary.
Sample Interview Questions
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