Data Engineer - ETL/Python

About the Role Aivar is building large-scale data infrastructure to power AI-driven products. 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 Role: Data Engineer Industry Type: IT Services & Consulting Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Data Science & Machine Learning