Job Description
Summary
Are you passionate about using data to solve real business problems? Do you want to be part of a team that makes information more accessible and actionable across the organization? If you are eager to contribute, learn, and grow in a dynamic environment where your work has meaningful impact, the Data Engineer Intern role at Victra is a fantastic opportunity for you.
Essential Duties and Responsibilities
· Support business partners with data requests and analysis.
· Work with stakeholders to analyze needs and design new data capabilities that support data-driven decision making.
· Contribute to agile teams developing high-quality data solutions using modern architecture and tools.
· Assist in designing strategies for data ingestion, movement, access, and visualization.
· Optimize SQL queries and database performance.
· Support development of certified data models and data sources, integrating both internal and external data.
· Participate in building RESTful services and microservices.
· Help develop and maintain data pipelines using Azure Data Factory and CI/CD practices.
· Assist in improving data tools, architecture, and processes.
· Explore and propose new ways to leverage data to answer key business questions.
Qualifications
· Familiarity with Power BI and data visualization concepts.
· Understanding of SQL and basic performance tuning.
· Exposure to data services, APIs, or data catalog tools.
· Basic knowledge of Azure Data Analytics tools is a plus.
· Experience with ETL tools or data workflows is a bonus.
· Comfort with Excel and introductory programming in Python or R.
· Strong interest in backend/frontend development concepts.
· Collaborative team player with an eagerness to learn and contribute.
· High attention to detail and a passion for solving business problems through data.
Education and Experience
Currently pursuing or recently completed a Bachelor’s degree in Computer Science, Management Information Systems (MIS), Data Science, or a related field. Relevant coursework or projects in databases, data engineering, or analytics preferred.
EQUAL OPPORTUNITY EMPLOYER
We're proud to be an equal opportunity employer - and celebrate our employees' differences, regardless of race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or Veteran status. Different makes us better.
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