About the Role :

Our client is looking for a Data Engineer (AI) with 4+ years of experience and strong expertise in Python, PySpark, SQL, and AWS, along with hands-on experience in Generative AI and LLMs.

The role involves building scalable data solutions and AI-ready data workflows while collaborating with technical and business teams.

Key Responsibilities :

- Design, develop, and maintain scalable data pipelines and data-processing workflows using Python, PySpark, and SQL.

- Process and transform large volumes of structured and unstructured data for analytics and AI applications.

- Design and develop data pipelines and workflows supporting Generative AI and LLM applications.

- Prepare and transform data for LLM-based applications, including document processing and knowledge workflows.

- Collaborate with AI/ML teams to integrate GenAI/LLM solutions into data engineering workflows.

- Support RAG pipelines, embeddings, vector search, and other LLM-powered data workflows.

- Design, implement, troubleshoot, and optimize cloud-based data solutions, preferably on AWS, ensuring data quality, reliability, performance, and scalability.

Required Skills :

- 4-8 years of hands-on experience in Data Engineering.

- Strong hands-on experience with Python and PySpark.

- Strong knowledge and practical experience in SQL scripting.

- Solid understanding and hands-on experience with core Data Engineering concepts.

- Strong hands-on experience with a cloud platform, preferably AWS.

- Mandatory : Strong hands-on experience with Generative AI and Large Language Models (LLMs).

- Excellent communication, collaboration, and interpersonal skills.

Nice-to-Have Skills :

- Exposure to AWS data services such as S3, Glue, EMR, Redshift, Lambda, or Athena.

- Knowledge of data lakes, data warehouses, and distributed data-processing architectures.

- Experience with ETL/ELT frameworks and workflow-orchestration tools.

- Familiarity with data modeling, governance, security, and data quality practices.

- Exposure to RAG pipelines, vector databases, embeddings, or AI agents.

- Experience with CI/CD pipelines, Git, Docker, or infrastructure automation.

About YMinds.AI :

YMinds.AI is a technology-focused talent solutions company helping organizations hire exceptional professionals across Engineering, AI/ML, Data, Cloud, Product, and Business functions.

Through our AI-powered talent platform, EmployAbility.AI, we enable faster access to verified and high-quality candidates by combining intelligent matching, expert screening, and a continuously refreshed talent network.