Data Infrastructure Engineer
Core
Build and operate scalable data ingestion pipelines, ETL/ELT workflows, and a modern data lakehouse on AWS to power AI/ML analytics modules.
Role type
Data Infrastructure Engineer
Builds
Production data pipelines, data lakehouse, metadata governance layers, and automated cloud provisioning/CI/CD for data workflows.
Domain
Cloud Data Engineering / AI/ML Infrastructure
Deliverable
production ML models
Required skills
Data ingestion (batch/streaming), ETL/ELT, Data lakehouse (Delta Lake), AWS (S3, IaC), SQL, Python, Metadata management, Data governance, CI/CD, Observability, Security fundamentals (IAM, encryption)
Preferred skills
Databricks, Terraform, Jenkins, AWS CodePipeline, Docker, AI-assisted coding tools, Knowledge graph modeling
Technologies
AWS, S3, Delta Lake, Python, SQL, Terraform, Jenkins, Docker, Git
Responsibilities
Design and implement batch and streaming data ingestion pipelines; Build and optimize ETL/ELT workflows for analytics-ready datasets; Manage scalable lakehouse architecture on AWS; Implement metadata repositories and data governance controls; Automate cloud provisioning and CI/CD for data pipelines; Build operational data quality checks and observability dashboards.
Seniority
Mid-Senior, hands-on IC
