Software Engineer

Experience Level: 6–8 years Primary Skill: PostgreSQL, AWS, Amazon Bedrock

Responsibilities:

- Design, develop, and maintain data pipelines supporting GenAI applications and RAG workflows

- Integrate structured and unstructured data from multiple sources into PostgreSQL and cloud storage

- Prepare and optimize datasets for LLM training, inference, and analytics

- Implement ETL/ELT processes and data transformation workflows using AWS services (S3, Lambda, Glue, Step Functions)

- Ensure data quality, validation, and consistency across pipelines

- Support monitoring, logging, and troubleshooting of data workflows

- Collaborate with GenAI developers and architects to enable AI-driven solutions

Required Qualifications:

- 5+ years of experience in data engineering or analytics

- Hands-on experience with PostgreSQL, including complex queries, indexing, and data modeling

- Strong experience with AWS data services (S3, Glue, Lambda, Redshift, Step Functions)

- Experience with data pipelines, ETL/ELT processes, and batch/streaming workflows

- Proficiency in Python, SQL, or similar languages

Preferred Qualifications:

- Experience preparing datasets for GenAI or LLM applications

- Familiarity with vector databases or embeddings for RAG pipelines

- Knowledge of data governance, privacy, and security practices

- Experience with CI/CD for data pipelines and MLOps workflows

- AWS Certified Data Analytics or Solutions Architect certifications

Senior Software Engineer