Senior Data Engineer

Karat

. Design, build, test, deploy, and maintain scalable cloud-based data pipelines ingesting and transforming product, operational, and third-party data .

Posted 10/10/2026full-timeRemote • IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining scalable cloud-based data pipelines, with a strong focus on data quality, orchestration, and collaboration across teams. Proficient in advanced SQL, Python, and cloud platforms, ensuring effective data transformation and actionable insights.

Highest-signal resume keywords

Data Pipeline ArchitectureAdvanced SQLPython ProgrammingAWS Cloud PlatformsApache Airflow

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringDimensional Data ModelingProduction Data PipelinesData Quality ImprovementData Transformation

Soft Skills

Effective CommunicationCollaboration

Tools & Technologies

PostgreSQLRedshiftDockerTerraform

Industry Keywords

Data LiteracyObservabilityMonitoringVersion ControlCode Review

Tech Stack

Tools & technologies

AirflowAmazon RedshiftApacheAWSCloudDockerPostgresPythonSQLTerraform

About the role

Key responsibilities & impact

Design, build, test, deploy, and maintain scalable cloud-based data pipelines ingesting and transforming product, operational, and third-party data
Own data-pipeline architecture, including orchestration, monitoring, reliability, performance, and data quality
Develop workflows, transformations, and data models that turn raw data into trusted, actionable information
Improve data quality through validation, observability, monitoring, and clear ownership of critical datasets
Manage and improve the data stack, including PostgreSQL, Redshift, Airflow, and Terraform
Strengthen data literacy across technical and non-technical teams through clear communication and partnership
Collaborate with Product, Engineering, Data Science, Analytics, and business teams

Requirements

What you’ll need

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 such as 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
Ability to collaborate effectively with globally distributed teams
Must reside in Bengaluru (formerly known as Bangalore), India
Applications must be submitted 100% in English
Must be able to work a schedule overlapping U.S. business hours

Benefits

Comp & perks

100% remote work
Inclusive workplace and non-discrimination commitment
Accommodation support for disabilities or special needs