Prometric is a leading provider of technology-enabled testing and assessment solutions. They are looking for a passionate and detail-oriented Data Engineering Intern to assist in building and maintaining data pipelines, optimizing databases, and contributing to data-driven projects.
Responsibilities:
- Assist in designing, developing, and maintaining scalable ETL/ELT pipelines to process data from various sources
- Support the creation and optimization of data storage solutions, including data lakes and warehouses
- Work with large and complex datasets to ensure accuracy, consistency, and security
- Collaborate with data scientists, analysts, and engineers to understand data needs and requirements
- Monitor and troubleshoot data pipelines to ensure efficient and error-free data processing
- Work with Database engineers to understand the infrastructure that backends data platforms
Requirements:
- Currently pursuing or recently completed a degree in Computer Science, Data Engineering, or a related field
- Familiarity with programming languages like Python, SQL, or Java
- Basic knowledge of relational databases (e.g., SQL Server, Oracle, MySQL) and data modeling concepts
- Understanding of big data tools or cloud platforms (e.g. Azure, AWS, Apache Spark) is a plus
- Strong problem-solving skills and attention to detail
- Eagerness to learn and collaborate in a team-oriented environment
- Familiarity with tools like Azure Data Factory, Synapse Studio, Azure Data Lake
- Exposure to NoSQL databases (e.g., CosmosDB, CouchDB)
- Interest in learning about data governance, privacy, and security