Senior Data/ML Engineer role focused on building scalable, cloud-native data platforms on AWS. Responsibilities include:
- Design and implement multi-zone data lake architectures on AWS using S3 (raw, curated, analytics-ready layers)
- Build and maintain batch and real-time data pipelines using AWS Glue, Kinesis, and Step Functions
- Develop ETL workflows, data transformations, and metadata management frameworks
- Deploy and operationalize ML models using Amazon SageMaker
- Integrate generative AI capabilities using Amazon Bedrock
- Support data migration initiatives from Azure to AWS
- Implement data governance, security, and access controls using AWS Lake Formation
- Collaborate with cross-functional teams on architecture, documentation, and data quality
Working at the intersection of advanced data engineering and applied machine learning, contributing to end-to-end data lifecycle design from ingestion to model deployment and monitoring.