Delivery AI Data Engineering Intern
Core
Design, develop, and support industrialized data solutions and technology platforms serving client needs.
Role type
Data Engineering Intern (via careerplan.io/jobs/790313568355-delivery-ai-data-engineering-intern-at-bcg)
Builds
Data pipelines, ETL processes, and scalable technology solutions
Domain
Cloud computing, Big Data, and Data Engineering
Required skills
Python, PySpark, SQL, Docker, Kubernetes, NoSQL databases, Spark, Hadoop, Airflow, Unix command line, AWS/Azure/GCP, Git, Data Modeling, ETL implementation, Stream-processing (Kafka), Backend frameworks (Flask/FastAPI/Django/NodeJS), CI/CD tools, Infrastructure as Code (Terraform), Monitoring tools, Security tools, Unit testing, Automated UI testing, API testing
Preferred skills
Experience with containerization, cloud platforms, and distributed systems
Technologies
PySpark, SQL, Docker, Kubernetes, MongoDB, Neo4j, Redis, Hadoop, Pig, Hive, Airflow, Prefect, Dagster, Kafka, Flask, FastAPI, Django, NodeJS, CircleCI, Octopus Deploy, Jenkins, Terraform, Chef, Puppet, Ansible, Datadog, New Relic, App Dynamics, SonarQube, Veracode, Pytest, Mocha, Jest, Selenium, Cypress, Playwright, Postman
Responsibilities
Gather requirements and specify technical solutions; Develop and deliver high-quality technology solutions; Implement ETL processes across on-premises and cloud architectures; Monitor performance and advise on infrastructure changes; Build and maintain data pipelines and stream-processing frameworks.
Seniority
Intern
