📋 Job Details at a Glance 📍 Location Remote — India 🏢 Company karat 👥 Experience 5+ years 🎓 Qualification 5+ years. Hands-on with Python, SQL, PostgreSQL, Docker, AWS, Terraform, Airflow, AI / LLM agents. Relevant technical qualification and demonstrated shipping experience 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary Not Disclosed 🏢 Industry Technology 🛠 Key Skills Python SQL PostgreSQL Docker AWS Terraform Airflow AI Senior Data Engineer at karat — Full Details & How to Apply Karat is seeking a Senior Data Engineer to design and build scalable cloud-based data pipelines in a Remote — India position. This role is crucial for ensuring high-quality data accessibility across the company, significantly impacting decision-making and product development. The demand for skilled Senior Data Engineer jobs is surging as organizations increasingly rely on data-driven insights. In the technology sector, the ability to transform ambiguous business questions into actionable data models is more important than ever. This role at karat positions you at the forefront of this trend, allowing you to contribute to robust data systems that drive innovation. Karat is recognized in the tech industry for building advanced data engineering solutions. The company emphasizes a culture of collaboration and innovation, making it an ideal environment for professionals looking to enhance their skills. With a focus on technology and data, karat is dedicated to creating impactful data systems that support its growth. This position is suitable for candidates with 5+ years of experience and relevant technical qualifications, specifically from the eligible batches of 2023, 2024, 2025, 2026 . Ideal applicants should be hands-on with Python, SQL, PostgreSQL, Docker, AWS, Terraform, Airflow, AI , and possess demonstrated shipping experience. The salary for this role is Not Disclosed . By joining karat , you will gain hands-on experience with essential technologies like Python, SQL, AWS, Terraform , and more. This role not only enhances your data engineering skills but also opens doors to advanced career opportunities in the tech industry, positioning you for future leadership roles. 📊 Role Difficulty: Medium | Competition Level: High | Fresher Friendly: No NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Job Role & Responsibilities The core mission of the Senior Data Engineer at karat is to design and implement robust data pipelines that enhance data accessibility and drive actionable insights for stakeholders. Design and build scalable cloud-based data pipelines using AWS that efficiently ingest and transform data from various sources. Utilize Python and SQL to develop comprehensive data models, ensuring high data quality and integrity throughout the process. Collaborate with business stakeholders to translate ambiguous questions into actionable data insights, leveraging PostgreSQL for effective data management. Monitor and maintain the performance of data pipelines, utilizing Airflow to ensure reliability and efficiency in data processing. Take ownership of the codebase, implementing best practices in data engineering with tools like Docker for containerization. Document processes and data flows to improve transparency, facilitating knowledge sharing among team members and stakeholders. Troubleshoot data-related issues, providing solutions that enhance data accessibility and usability for various applications. This role fosters an ownership culture, allowing you to directly impact data-driven decision-making processes within karat . Required Skills & Technical Competencies The Senior Data Engineer role demands a robust skill profile, emphasizing technical expertise in data engineering tools and methodologies. Technical Skills Python — advanced — utilized for developing data models and pipelines to ensure efficient data processing. SQL — advanced — employed for querying and managing data, crucial for maintaining data quality and integrity. PostgreSQL — intermediate — used for database management, supporting various data engineering tasks outlined in the responsibilities. AWS — advanced — essential for cloud infrastructure management and deployment of scalable data solutions. Terraform — intermediate — applied for infrastructure as code, facilitating the deployment of data solutions in cloud environments. Docker — intermediate — used for containerization, ensuring consistent environments for data engineering applications. Airflow — intermediate — utilized for orchestrating complex data workflows and monitoring pipeline performance. AI — intermediate — leveraged for integrating AI/LLM agents into data processing workflows to enhance data insights. When showcasing these technical skills in your resume or interview, emphasize specific projects where you applied these technologies to solve real-world problems. Eligibility Criteria This role is designed for experienced professionals with a strong technical background in data engineering and relevant qualifications. Must possess a relevant technical qualification in a related field. Minimum of 5+ years of hands-on experience in data engineering roles. Eligible batches include 2023 , 2024 , 2025 , and 2026 . Freshers are not suitable for this role due to the experience requirement. Academic performance requirements are not specified in the job posting. Documentation & Portfolio Requirements Submit your resume in PDF format, including detailed descriptions of your relevant projects and technical skills. Pro tip: Highlight specific instances where you utilized Python , SQL , and AWS in your previous roles to stand out in your application. Salary for Senior Data Engineer at karat 💰 Compensation Not Disclosed The advertised compensation for the Senior Data Engineer role at karat is Not Disclosed . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Recommended Courses & Preparation Tips for Senior Data Engineer Upskilling with the right resources significantly enhances your chances of selection for this specific role by ensuring you meet the required technical competencies. Recommended Courses & Resources Python — Essential for data manipulation and engineering tasks. SQL — Crucial for database management and querying data efficiently. Docker — Important for containerization and deployment of applications. AWS — Key for cloud services and infrastructure management. KodNest — Provides hands-on experience with data engineering projects. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Applying without demonstrating 5+ years of relevant experience in data engineering — ensure your experience aligns with this requirement. ❌ Using a generic resume instead of tailoring it to the specific responsibilities and skills listed in the job description — customize your resume for this role. ❌ Listing technologies like AWS or Docker without detailing their application in past projects or roles — provide context for your skills. ❌ Ignoring the explicit experience requirement of 5+ years — highlight your relevant experience clearly. ❌ Adding unrelated technologies or unsupported claims to increase ATS keywords without relevance — focus on relevant skills only. ❌ Failing to verify the official Apply URL and job details before submission — double-check all application details. Before You Apply — Checklist ✅ Confirm the job title, company, location, work mode, and experience requirement. ✅ Check that the candidate meets the supplied qualification criteria. ✅ Verify eligibility against the supplied eligible batches and experience requirement. ✅ Add relevant supplied JD keywords naturally to the resume. ✅ Highlight projects or experience related to the supplied technologies and responsibilities. ✅ Remove unsupported technologies, achievements, or experience claims. ✅ Open and verify the supplied Apply URL before submitting the application. ✅ Save the job details, application date, and role-specific resume version for tracking. Resume Tailoring & ATS Keywords for Senior Data Engineer Optimizing your resume for ATS is crucial for ensuring it passes initial screenings and reaches hiring managers. ATS Keywords to Include Python SQL PostgreSQL Docker AWS Terraform Airflow AI Data Engineering Machine Learning Technical Communication Hands-on Coding Resume Tips for This Role Highlight the 5+ years of experience in data engineering prominently on the resume. Emphasize hands-on experience with Python, SQL, and AWS as these are critical for the role. Include any relevant projects that utilized technologies like Docker or Terraform. Use exact keywords from the job description to align with ATS requirements without overstuffing. Avoid adding unsupported claims or technologies that cannot be substantiated. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro Tip: Avoid including unrelated experience or unsupported claims in your resume for this role. How to Apply for Senior Data Engineer at karat Apply Now — karat Open the supplied official Apply URL and confirm the job title and company. Prepare a resume aligned with the supplied skills, responsibilities, qualification, and experience requirement. Complete the official application form accurately and avoid unsupported claims. Submit the application and save the confirmation or application reference if the portal provides one. Record the application date and monitor the official company portal or registered email for updates. Applications reviewed on rolling basis — early submission recommended. Apply Now — karat NexisGrow.com does not charge any fees for job applications. karat Karat was founded in 2014 and has rapidly grown to become a significant player in the technology sector. With its headquarters located in Seattle, Washington , the company operates globally, serving clients across various continents. As of now, Karat employs over 200 professionals who contribute to its innovative solutions. The core offerings of Karat include its unique interview platform designed for technical hiring, which leverages advanced AI technologies. This platform allows companies to conduct live coding interviews, ensuring that candidates are evaluated effectively. Additionally, Karat provides tailored assessment solutions that help organizations identify top talent in the tech industry. Karat fosters a culture of collaboration and innovation, which is reflected in its employee programs. The company has received accolades such as being named one of the Best Places to Work by Glassdoor in 2021. Employee development is prioritized through mentorship programs and continuous learning opportunities, ensuring that team members grow alongside the company. Recently, Karat has expanded its services by integrating new AI-driven features into its platform, enhancing the candidate experience. The company secured a significant funding round in 2021 , which has allowed it to invest in further technological advancements and expand its global reach. This initiative positions Karat as a forward-thinking leader in the tech hiring space. For freshers in technology, Karat offers a robust career launchpad. The company’s focus on cutting-edge technologies like AI and its commitment to employee development provide invaluable exposure to industry best practices. Working at Karat allows new professionals to gain hands-on experience in data engineering and cloud-based solutions, setting the stage for a successful career. Company Details Industry Technology Location Remote — India Connect With Us Careers Apply Now Website 🔗 job-boards.greenhouse.io Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Senior Data Engineer at karat? Eligibility Tap to expand + Answer Candidates with 5+ years. Hands-on with Python, SQL, PostgreSQL, Docker, AWS, Terraform, Airflow, AI / LLM agents. Relevant technical qualification and demonstrated shipping experience and 5+ years experience are eligible. Eligible batches: 2023, 2024, 2025, 2026. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: Python, SQL, PostgreSQL, Docker, AWS. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: Not Disclosed. Final offer depends on skills, experience, and interview performance. ? What is the interview process at karat? Interview Tap to expand + Answer Typically: Resume shortlisting → Online test → Technical interview(s) → HR round. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer Work mode varies by team. Confirm with HR during recruitment. ? What is the career growth path from this role? Growth Tap to expand + Answer Structured appraisals every 6–12 months. Senior roles accessible within 12–18 months based on performance. ? How do I apply? Application Tap to expand + Answer Apply via the official link in How to Apply section. Highlight: Python, SQL, PostgreSQL, Docker, AWS. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the Senior Data Engineer interview? Preparation Tap to expand + Answer (1) Core concepts of Python, SQL, PostgreSQL, Docker, AWS, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) karat research, (5) Clear communication. ? What is the work culture like at karat? Culture Tap to expand + Answer Research on LinkedIn and Glassdoor for authentic employee reviews. 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