Job Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Engineer in India.

This role offers the opportunity to shape and scale the data infrastructure that powers enterprise-grade products used by hundreds of thousands of users. As a Data Engineer, you will design, build, and maintain data pipelines and models that integrate multiple data streams, including IoT and user-generated data. You will collaborate closely with product, engineering, and analytics teams to ensure that data is accurate, reliable, and actionable. The position emphasizes innovation, continuous improvement, and the ability to translate complex data into meaningful solutions. You will contribute to building a robust data ecosystem, leveraging modern tools and frameworks, and directly impacting product quality and business decisions. The environment is collaborative, fast-paced, and technically challenging, ideal for engineers passionate about working with cutting-edge data technologies.

Accountabilities:

• Design, build, and maintain robust data pipelines to support enterprise product features.
• Architect and implement data models in collaboration with product, engineering, and analytics teams.
• Ensure data reliability, consistency, and observability across multiple sources, including IoT and user data.
• Deploy DataOps practices and leverage modern tools such as Airflow, dbt, and AWS to automate and optimize workflows.
• Communicate effectively across teams to align on data requirements, priorities, and project progress.
• Collaborate on the creation of scalable data infrastructure to support the growth of enterprise clients.
• Continuously evaluate and adopt new technologies to improve data engineering processes.

Requirements:

• Bachelor’s degree or higher in Computer Science, Math, Statistics, Economics, or a related quantitative field.
• 6+ years of experience in Data Engineering, including building and maintaining modeled tables and pipelines.
• Strong applied knowledge of SQL, Python, and modern data engineering tools (dbt, Airflow, AWS).
• Experience designing data models and integrating complex data streams.
• Strong problem-solving skills, attention to detail, and ability to work collaboratively across diverse teams.
• Eagerness to learn and adopt new technologies.
• Excellent communication skills, with the ability to clearly articulate technical concepts to non-technical stakeholders.

Benefits:

• Competitive salary and benefits package.
• Flexible remote work arrangements within India.
• Exposure to enterprise-scale data platforms and cutting-edge data engineering technologies.
• Collaborative environment with opportunities for professional growth and skill development.
• Inclusive and diverse workplace culture, supporting continuous learning and innovation.

Why Apply Through Jobgether?

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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