Data Engineering Intern
Prometric
Job Overview
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Job Description
About Prometric
Prometric is a leading provider of technology-enabled testing and assessment solutions to many of the world’s most recognized licensing and certification organizations, academic institutions, and government agencies. We support more than 7 million test takers annually at our testing locations in 180 countries around the world. With over three decades of experience working with clients of all sizes across a multitude of industry sectors, our mission is to design and deliver the highest quality and most innovative testing solutions anytime, anywhere.
Job Overview: Data Engineering Intern
We are looking for a passionate and detail-oriented Data Engineering Intern to join our team! As a Data Engineering Intern, you’ll work closely with experienced data engineers and gain hands-on experience building and maintaining data pipelines, optimizing databases, and contributing to data-driven projects. This is an excellent opportunity to kickstart your career in data engineering while working on meaningful projects in a collaborative environment. The salary for this role is $18.00 per hour.
Key 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.
Qualifications
We are looking for candidates who are:
- 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.
- Strong problem-solving skills and attention to detail.
- Eagerness to learn and collaborate in a team-oriented environment.
Preferred Skills (Bonus But Not Required)
- 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.
- Understanding of big data tools or cloud platforms (e.g. Azure, AWS, Apache Spark) is a plus.
What We Offer
- Hands-on experience with real-world data engineering projects.
- Mentorship from experienced data professionals.
- Networking opportunities and career development support.
- Flexible working hours and a positive, collaborative culture.
Key Skills/Competency
- Data Engineering
- ETL/ELT Pipelines
- SQL
- Python
- Data Modeling
- Relational Databases
- Data Warehousing
- Cloud Platforms (Azure, AWS)
- Problem-Solving
- Data Governance
How to Get Hired at Prometric
- Research Prometric's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume: Customize your resume to highlight data engineering skills, SQL, Python, and relevant project experience.
- Showcase relevant projects: Prepare to discuss academic projects or portfolios demonstrating data pipeline or database work.
- Understand Prometric's industry: Learn about their role in testing and assessment solutions to align your interest.
- Network effectively: Connect with Prometric employees on LinkedIn to gain insights and express your enthusiasm.
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