Чем предстоит заниматься
Build and maintain the AWS-native lakehouse foundation using Python, Glue, Athena and S3, including medallion-style layering from raw through curated tables (Iceberg)
Manage all infrastructure through code (Terraform or equivalent), with version control, review, and repeatable deployments as the default
Build and maintain data pipelines that move and transform data into the lake reliably, with monitoring and clear failure handling
Operate/support the internal AI platform including LLM gateway, Bedrock, custom utilities and zero-trust access controls
Enforce security and access baselines across data and model layers, including IAM scoping, network controls, and secrets handling
Partner with IT, Security, and Engineering to keep the platforms aligned with broader operations standards