As a Data Engineer, you will own the design and delivery of robust AWS data pipelines with deep LLM integration.

What You'll Do :

- Design, build, and maintain scalable AWS data pipelines using S3, Glue, Redshift, Lambda, and related services.

- Integrate LLM capabilities into data workflows for enrichment, classification, and summarization.

- Collaborate with AI/ML teams to ensure data readiness for model training and inference.

- Build monitoring, quality checks, and alerting for production data pipelines.

- Optimize query performance and data storage for cost efficiency.

- Work with cross-functional stakeholders to understand data requirements and deliver solutions.

Must Have :

- AWS Data stack - S3, Glue, Redshift, EMR, Lambda, Step Functions.

- Strong SQL and Python/PySpark for data transformation.

- Experience with data pipeline orchestration (Airflow, Step Functions, or similar).

- LLM integration experience - using LLM APIs within data processing workflows.

Good to Have :

- AWS Data certifications.

- Streaming data experience (Kinesis, Kafka).

- Exposure to MLOps and ML data pipelines.