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Senior Full Stack Developer - Data Research Engineering

icon building Company : Jobgether
icon briefcase Job Type : Full Time

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Job Description - Senior Full Stack Developer - Data Research Engineering










This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Full Stack Developer - Data Research Engineering based in India.


This role sits at the intersection of full stack engineering and data-driven systems, focused on building scalable web applications that power data acquisition, processing, and visualization workflows. You will contribute to the design and development of end-to-end platforms that support data research engineering operations, enabling reliable data exchange and decision-making across teams. The position requires strong backend expertise in Python and Django, combined with modern frontend development skills to deliver responsive and intuitive user experiences. You will collaborate closely with data engineers and cross-functional teams to build APIs, optimize performance, and ensure robust system integration. The role also involves maintaining high engineering standards through testing, code reviews, and continuous improvement practices. This is a fast-paced, innovation-driven environment where engineering quality and adaptability are highly valued.










Accountabilities:



  • Design, develop, and maintain full stack web applications supporting data research engineering workflows

  • Build and enhance backend services using Python and Django, ensuring scalable and maintainable architectures

  • Develop and integrate RESTful APIs to enable seamless communication between frontend and backend systems

  • Create responsive and user-friendly interfaces using NextJS, HTML, CSS, and optionally Angular

  • Implement automated testing strategies including unit and integration tests to ensure application reliability

  • Optimize application performance, scalability, and responsiveness across platforms and browsers

  • Participate in code reviews, ensuring adherence to engineering standards and best practices

  • Collaborate with data engineers and stakeholders to estimate tasks, define requirements, and deliver features on time

  • Troubleshoot and resolve production issues while continuously improving system stability and quality

  • Stay updated with emerging technologies and contribute innovative ideas to enhance platform capabilities


Requirements:



  • Bachelor’s degree in Computer Science, Software Engineering, or related field preferred but not mandatory

  • Strong proficiency in Python with hands-on experience in Django or similar web frameworks

  • Frontend expertise in NextJS, HTML, CSS; knowledge of Angular is a plus

  • Solid understanding of RESTful API design, integration, and web application architecture

  • Experience with relational databases such as PostgreSQL or MySQL and SQL querying

  • Familiarity with cloud platforms such as AWS (RDS, S3, EC2, ECS, CloudWatch) is highly desirable

  • Experience with version control systems such as Git and collaborative development workflows

  • Strong analytical and problem-solving skills with attention to detail and code quality

  • Exposure to CI/CD pipelines, Docker, or data engineering tools is a plus

  • Understanding of Agile methodologies and ability to work in fast-paced, evolving environments

  • Strong communication skills and ability to collaborate effectively within cross-functional teams

  • Self-driven mindset with eagerness to learn new technologies and adapt quickly


Benefits:



  • Competitive compensation package aligned with experience

  • Monthly wellness reimbursement program to support physical and mental well-being

  • Monthly commuting reimbursement support

  • Paid maternity and paternity leave benefits

  • One long weekend every month with a scheduled day off on the 3rd Friday

  • Exposure to large-scale data-driven platforms and modern engineering practices

  • Opportunity to work in a global, collaborative, and innovation-focused environment


How Jobgether works:

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.
Original job Senior Full Stack Developer - Data Research Engineering posted on GrabJobs ©. To flag any issues with this job please use the Report Job button on GrabJobs.
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