Data Analyst Intern
Core
Build cloud-based data infrastructure, design ETL/ELT pipelines, and prepare datasets for AI/ML model training.
Role type
Data Engineering Intern (Cloud & AI Focus)
Builds
Cloud data warehouses/lakes, scalable data pipelines, and curated datasets for AI/ML
Domain
Cloud computing, Data Engineering, Artificial Intelligence
Deliverable
production ML models | infrastructure
Required skills
Cloud platform fundamentals (Azure/GCP/AWS), ETL/ELT pipeline design, Infrastructure-as-Code (IaC), Data orchestration, Data validation and cleansing, Metadata management, Query optimization
Preferred skills
Experience with vector databases, Semantic search implementation, MLOps practices
Technologies
Azure Synapse, GCP BigQuery, AWS Redshift/S3, Terraform, Bicep, Azure Data Factory, GCP Dataflow, AWS Glue, Apache Airflow, Azure ML, GCP Vertex AI, AWS SageMaker
Responsibilities
Design and deploy cloud data warehouses and data lakes; Configure and manage cloud storage, compute, and networking; Build and maintain scalable ETL/ELT pipelines; Prepare and curate datasets for machine learning; Implement data validation, cleansing, and deduplication processes; Optimize query performance and storage costs
Seniority
Intern, hands-on IC