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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.
The role of a Data Engineer in the Gen AI Team involves designing, building, and maintaining scalable data pipelines and systems to support decision-making processes. This position is ideal for individuals with a strong technical background in data engineering, particularly within the Financial Services sector.
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.
The Manager Data Engineer will play a critical role in building and maintaining data pipelines, ensuring data quality, and enabling analytics within the FMCG industry. This position is based in Bangalore, focusing on driving data solutions to support business objectives effectively.
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.
Looking for a Data Engineer to design, build, and maintain scalable data solutions within organisation's Enterprise Data Platform, based on Microsoft Fabric.
We are seeking a Senior Clinical Data Analytics Engineer with expertise in analytics to join our team in Mumbai Suburban. The ideal candidate will be responsible for leveraging data analytics to support clinical insights and deliver impactful solutions in the technology and telecoms industry.
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.
The Application Development Manager will oversee the creation, enhancement, and implementation of software applications within the semiconductor industry. This role is based in Bengaluru Urban and requires expertise in technology and application development to drive innovation and efficiency.
Design and deploy scalable GenAI systems for analytics use cases.Partner with teams to power next‑gen decision intelligence.
Seeking a highly experienced Principal Snowflake / Azure Data Factory (ADF) Engineer to serve as a senior individual contributor within Data & Analytics team. This role is responsible for solving complex data challenges, shaping technical approaches, and driving high-quality, scalable data solutions across our Snowflake platform.
The role of Engineering Manager - Data in the healthcare industry requires expertise in technology and data management to lead and deliver innovative solutions.
Seeking a Data Science and Analytics Manager to lead a team of 10-15 talented data analysts and engineers. This role is central to driving strategic analytics initiatives across our global operations, with a strong focus on supply chain, manufacturing, and semiconductor equipment processes.
We are seeking an AI Engineer/Data Scientist to design and implement advanced multi-agent workflows and intelligent pipelines using frameworks like LangGraph and LangChain. The role involves building and fine‑tuning generative models, developing robust data pipelines, and deploying domain‑adapted LLM solutions. You will integrate AI agents into business processes through automation, RAG systems.
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