An Engineering Intern on the Master Data Management team responsible for developing and deploying data infrastructure solutions, building real-time data pipelines, and collaborating globally to ensure data integrity and support the company's AI-driven future.
Key Responsibilities
Design, develop, and deploy enhancements to the Master Data Management platform
Contribute to the architecture of real-time data pipelines transforming raw data into golden records
Troubleshoot complex data anomalies and implement automated fixes to improve system uptime
Collaborate with stakeholders to translate business requirements into technical specifications
Requirements
Proficiency in Python or a similar high-level programming language, with the ability to write clean, maintainable, and efficient code.
Strong command of SQL for complex data manipulation and analysis, ideally with exposure to modern cloud data warehouses like Snowflake.
A foundational understanding of cloud infrastructure components such as AWS Lambda, EC2, and containerization and how they support distributed applications.
Self-starter mindset with proactive problem-solving skills and the ability to engage stakeholders and navigate technical roadblocks independently.
Experience or familiarity with designing, developing, and deploying enhancements to data platforms, ensuring high performance and data reliability.
Experience contributing to the architecture of real-time data pipelines, transforming raw inputs into golden records that serve as the single source of truth for the organization.
Benefits & Perks
Flexible time off
Wellness resources
Company-sponsored team events
Ready to Apply?
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