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
Positive to Have
- AWS Data certifications
- Streaming data experience (Kinesis, Kafka)
- Exposure to MLOps and ML data pipelines
📌 Data Engineer (Bengaluru)
🏢 Hack And Grow Consultancy
📍 Bengaluru
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