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Entry-level data role at a well-known employer in a metro, attracting many recent-grad applicants.
Core data engineering skills (SQL, Python, ETL) transfer easily across industries.
Degree and fundamental programming, SQL requirements present but no strict years or niche certifications.
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Assist in building and maintaining scalable data pipelines and ETL/ELT workflows for analytics and reporting.
Monitor data pipelines, troubleshoot production issues, and ensure data quality and reliability.
Collaborate in Agile teams to develop data models, automate operational tasks, and apply cloud technologies and DevOps practices.
Bachelor's degree in Computer Science, IT, Information Systems, Statistics, Mathematics, or related technical field.
Strong programming fundamentals; knowledge of Python, Java, or similar language; basic SQL skills.
Understanding of software development lifecycle and version control systems like Git.
Work Experience Required: Not explicitly mentioned in the JD.
Early-career graduates with academic or internship exposure to data engineering, analytics, or cloud technologies.
Comfortable learning and applying cloud platforms such as GCP, AWS, or Azure in a software development context.
Able to work collaboratively in Agile teams, focused on building data engineering solutions and operational automation.