We are seeking an experienced Data Engineer with deep hands-on expertise in AWS, Azure Databricks, Snowflake, and modern data engineering practices to join our growing Data & AI Engineering team.

The ideal candidate is a strategic thinker who can design scalable platforms, drive robust data solutions, and support high-impact AI/GenAI projects from the ground up.

Key Responsibilities :

- Working experience of 3 years in Data engineering.

- Design, build, and optimize scalable data pipelines using modern frameworks and orchestration tools.

- Develop and maintain ETL/ELT workflows using AWS, Azure Databricks, Airflow, and Azure Data Factory.

- Manage and model data in Snowflake to support advanced analytics and machine learning use cases.

- Collaborate with analytics, product, and engineering teams to align data solutions with business goals.

- Ensure high standards for data quality, governance, and pipeline performance.

- Mentor junior engineers and help lead a high-performing data and platform engineering team.

- Lead and support GenAI platform initiatives, including building reusable libraries, integrating vector databases, and developing LLM-based pipelines.

- Build components of agentic frameworks using Python, Spring AI, and deploy them on AWS EKS.

- Establish and manage CI/CD pipelines using Jenkins.

- Drive ML Ops and model deployment workflows to ensure reliable and scalable AI solution delivery.

Required Qualifications

- Proven hands-on experience with Azure Databricks, Snowflake, Airflow, and Python.

- Strong proficiency in SQL, Spark, Spark Streaming, and modern data orchestration frameworks.

- Solid understanding of data modeling, ETL best practices, and performance optimization.

- Experience in cloud-native environments (AWS and/or Azure).

- Strong hands-on expertise in AWS EKS, CI/CD (Jenkins), and ML Ops/model deployment workflows.

- Ability to lead, mentor, and collaborate effectively across cross-functional teams.

Preferred Qualifications :

- Experience with Search Platforms such as Elasticsearch, SOLR, OpenSearch, or Vespa.

- Familiarity with Spring Boot microservices and EKS-based deployments.

- Background in Recommender Systems, with leadership roles in AI/ML projects.

- Expertise in GenAI platform engineering, including LLMs, RAG architecture, Vector Databases, and agentic design.

- Proficiency in Python, Java, Spring AI, and enterprise-grade software development.

- Ability to build platform-level solutions with a focus on reusability, runtime libraries, and scalability.

What We Offer :

A unique opportunity to build and scale cutting-edge AI and data platforms that drive meaningful business outcomes.

- A collaborative, growth-oriented work culture with room for ownership and innovation.

- Competitive compensation and a comprehensive benefits package.

- Flexible hybrid/remote work model to support work-life balance.

Work Location Chennai -Hybrid /Remote.