Senior Data Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Karat

WebsiteLinkedInAll Job Openings

201 - 500 employees

👥 HR Tech

🏢 Enterprise

☁️ SaaS

💰 Funding Round on 2022-04

HR Tech • Enterprise • SaaS

Karat is a company that provides an innovative, end-to-end solution for technical hiring. Its platform improves the quality, efficiency, and equity of the hiring process for organizations by offering 24/7 interviews and unlimited capacity with expert interviewers. Karat aims to delight candidates with a fair, friendly, and engaging experience while reclaiming engineering bandwidth through real interviews. The company also focuses on equitable and inclusive hiring, internal mobility, and global hiring solutions, ensuring a diverse and well-evaluated pool of candidates. With its human and technology approach, Karat integrates seamlessly into existing processes, offering a reliable and consistent interview experience.

📋 Description

• 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

• 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

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