bout the Role

We are looking for a results-driven AI + Data Engineer to build and scale modern, intelligent data platforms. This role combines data engineering on Snowflake + Azure with hands-on development of AI/GenAI solutions such as LLM-based applications, RAG pipelines, and intelligent data products.

Key Responsibilities

- Develop and maintain scalable data pipeline using Snowflake and Azure ecosystem
- Implement high quality data ingestion and transformation frameworks for structured and unstructured data
- Develop Gen AI solutions using LLMs, including RAG (Retrieval-Augmented Generation) pipelines for enterprise use cases
- Build and optimize embedding pipelines and vector search solutions for semantic retrieval
- Create standard processes and metric definitions for optimized analytics, reporting and downstream consumption
- Create and execute unit testing and end-to-end integration test plans for each block of data and analytics pipelines.
- Optimize performance of data pipelines and queries to meet SLAs

MustHave Qualifications

- 2-4 years total experience in data engineering on cloud platforms, with Applied AI.




- Min 2 years of experience in Snowflake with exposure to warehouse configuration, schema design, performance tuning; stored procedures/tasks; loading strategies. Exposure to Snowflake Cortex AI.
- Experience working on Azure cloud platform and ADLS.
- Experience in building Gen AI solutions using LLMs, RAG pipelines, vector DBs and embeddings.
- SQL/Python/PySpark: Design and implement scalable data processing solutions using SQL, Python, and distributed compute frameworks, including unit/integration tests.
- Built and deployed RESTful APIs for data ingestions, Gen AI applications and LLM inference endpoints for internal workflows.
- Version control & CI/CD: Exposure to Git, pull requests, automated deployment pipelines.
- Maintain a results-oriented mindset with strong analytical and problem-solving skills.
- Solid communication and collaboration skills to work in an Agile and global setting.
- Good to have: Experience in Healthcare Industry

📌 Data Engineer (Hyderabad)
🏢 PROVIDENCE GLOBAL CENTER
📍 Hyderabad