Job Summary
We are seeking a highly motivated and experienced Senior Data Engineer to join our Data Engineering team. The ideal candidate will have extensive experience designing and building scalable data pipelines using the AWS cloud ecosystem, with deep expertise in Snowflake, Python, and SQL. Experience with graph databases, vector databases, and AI-driven data platforms is highly desirable.

In this role, you will design and optimize modern data platforms that support analytics, machine learning, semantic search, Retrieval-Augmented Generation (RAG), and enterprise AI applications. You will work closely with cross-functional teams to deliver secure, scalable, and high-performance data solutions.

Key Responsibilities
• Design, develop, and maintain scalable data pipelines using AWS services such as S3, Glue, Lambda, Redshift, and EMR.
• Build, optimize, and maintain enterprise data warehouse solutions using Snowflake, including data modeling, query optimization, and performance tuning.
• Develop productive, reusable, and maintainable data transformation workflows using Python and SQL.




• Collaborate with data scientists, analysts, architects, and business stakeholders to gather requirements and deliver scalable data solutions.
• Integrate vector databases with Large Language Model (LLM) applications and AI-driven workflows.
• Design and optimize graph and vector data architectures to support semantic search, Retrieval-Augmented Generation (RAG), and AI use cases.
• Monitor, troubleshoot, and optimize data pipelines for reliability, scalability, and performance.
• Ensure data quality, governance, security, and compliance across all stages of the data lifecycle.
• Participate in architecture reviews, code reviews, technical discussions, and continuous improvement initiatives.
• Document technical solutions and follow engineering best practices throughout the software development lifecycle.

Required Qualifications
• Bachelor's or Master's degree in Computer Science

📌 Senior Data Engineer (Chennai)
🏢 Applix
📍 Chennai