Job Title: Data Engineer
Location: Coimbatore, Tamilnadu, India
Experience: 1-3 Years

Job Summary
As a Data Engineer at Nectar, you will play a key role in building and scaling the data foundation
that powers our intelligent product platform. You will design, develop, and maintain robust data
pipelines and data platforms that process large volumes of IoT and application data in real time.
You will collaborate closely with AI engineers, backend developers, product teams, and platform
engineers to ensure high-quality, reliable, and accessible data across the organization. This role
offers an chance to work on cutting-edge technologies while contributing directly to the
evolution of our AI and IoT product ecosystem.

Key Responsibilities
● Develop, maintain, and optimize scalable batch and real-time data pipelines.
● Build and manage data ingestion frameworks for IoT devices, applications, and
third-party systems.
● Design and implement robust ETL/ELT processes to support analytics and AI
workloads.




● Collaborate with AI and product teams to prepare and deliver high-quality datasets for
machine learning and Generative AI applications.
● Develop and maintain data models, schemas, and storage solutions for structured and
unstructured data.
● Ensure data quality, reliability, consistency, and availability across the platform.
● Monitor and troubleshoot data pipelines, ensuring timely resolution of production
issues.
● Optimize data processing workflows for performance, scalability, and cost efficiency.
● Work with cross-functional teams to understand business requirements and translate
them into scalable data solutions.
● Implement data governance, security, and access control best practices.
● Participate in code reviews, architecture discussions, and continuous platform
improvements.

Required Experience
● 1+ years of hands-on experience in Data Engineering or related roles.
● Strong programming skills in Python and SQL.
● Experience building ETL/ELT pipelines and

📌 Data Engineer (Coimbatore)
🏢 nectar.
📍 Coimbatore