
Cloud-Native Data Architect
5 days ago
Data Engineer Role Overview
We are seeking skilled professionals to design, build and manage robust data pipelines that power Agentic AI solutions on AWS. The role focuses on developing efficient ETL/ELT workflows, ensuring data quality, security and scalability to support AI/ML model training, inference and intelligent decision-making processes in a cloud-native environment.Main Responsibilities:
- Design, develop and maintain ETL/ELT pipelines to process structured, unstructured and streaming data in AWS environments.
- Leverage AWS services such as S3, Glue, EMR, Lambda, Kinesis, Step Functions, Redshift, Athena, DynamoDB, RDS and Lake Formation for scalable data ingestion, transformation, storage and querying.
- Ensure robust data governance, security and quality controls throughout the data lifecycle, supporting regulatory compliance.
- Enable both real-time and batch data processing pipelines to power AI-driven workflows and applications.
- Collaborate closely with AI/ML teams to prepare clean, high-quality datasets optimized for model training, inference and fine-tuning.
- Optimize data infrastructure to achieve high performance, scalability, reliability and cost efficiency.
- Implement CI/CD pipelines and data engineering best practices in a cloud-native architecture for automated deployments.
- Monitor, debug and resolve issues in data pipelines to ensure high availability, reliability and minimal latency.
- Maintain thorough documentation of data pipelines, architecture and processes to facilitate reproducibility and knowledge sharing.
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