Data Engineer jobs in India

This is an exciting temporary opportunity for a Data Engineer to contribute to impactful projects within the FMCG industry, specifically in the Beauty Tech. The role is based in Hyderabad and involves leveraging technical expertise to enhance data processes and support business objectives.

As a GCP Data Engineer in Hyderabad, you'll work on building and managing data pipelines and cloud-based solutions for the FMCG industry, specifically in the cosmetics and toiletries sector. You'll help ensure data is organised, accessible, and ready for analysis.

Join as a GCP Data Engineer in Gurgaon, where you'll work on designing, building and maintaining data pipelines and solutions using Google Cloud Platform. You'll help ensure smooth data processing and support the team in managing large-scale data systems.

The Senior Data Engineer will play a crucial role in designing, building, and maintaining data pipelines and systems to support analytics and decision-making in the mechanical industry. Based in Bangalore, this role requires strong technical expertise and a focus on ensuring data integrity and scalability.

We are seeking an experienced Senior Snowflake Engineer to join Data & Analytics team. This role is focused on designing, building, and optimizing data solutions in Snowflake while contributing to the delivery of scalable, high-quality data pipelines. The Senior Engineer will work closely with Engineering Leads, Architects, and cross functional teams to implement data solutions aligned with enterprise standards.

The Senior Data Engineer will design, develop, and maintain scalable data pipelines and ETL solutions that integrate data from multiple business systems into centralized platforms. They will ensure high-quality, reliable, and governed data to support analytics, business intelligence, and automation.

The Sr Data Engineer you will be responsible for developing robust data pipelines, integrating data from multiple enterprise systems, and ensuring high standards of data quality, reliability, and performance. You will work closely with platform teams and business stakeholders to deliver data that is accurate, accessible, and ready for consumption.

We are looking for a hands-on Senior Data Engineer to join our data squad and work directly with the Technical Lead to execute our data strategy. You will be responsible for the "build" part of the blueprint.

As a Senior Fullstack Engineer in AI and Data, you'll develop and maintain software solutions to support the company's AI and data projects. Based in Hyderabad, you'll work on both frontend and backend systems to deliver efficient and scalable applications.

The Data Engineer will work closely with the analytics team to design, build, and maintain data pipelines and infrastructure for the chemical industry. The role requires technical expertise in data engineering to support data-driven decision-making in a manufacturing environment.

As a D&A Engineer Front Office, you'll work on developing and managing data and analytics solutions.

Your role will focus on ensuring smooth data operations and delivering insights that support decision-making.

Design and deploy scalable GenAI systems for analytics use cases.

Partner with teams to power next‑gen decision intelligence.

Design and deploy scalable GenAI systems for analytics use cases.

Partner with teams to power next‑gen decision intelligence.

Lead project and cost accounting

Manage the India loan portfolio and act as the primary finance contact for lenders and investors on project financing matters.

As Technical Lead - Data Science & Generative AI, you drive the design, development and deployment of machine learning, deep learning and generative AI solutions across Incedo's platforms and client programmes. You work alongside data scientists, data engineers and business stakeholders to ship scalable, productionready AI/ML applications, shape the technical roadmap for AI initiatives, and mentor the team that builds it

The role of Engineering Manager - Data in the healthcare industry requires expertise in technology and data management to lead and deliver innovative solutions.