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Entry-level generalist data role attracts many applicants; moderate brand and no location advantage.
Data platform fundamentals (SQL, Python, ETL) are broadly transferable across industries, low sensitivity.
No explicit years or niche certifications and only foundational skills required, so filtering is relatively lenient.
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Develop and maintain data pipelines and scripts to move and transform data across systems.
Write and optimize SQL queries to support data operations and analytics.
Learn and apply foundational cloud computing and database concepts in a professional environment.
Bachelor's degree (or equivalent) in computer science, software engineering, mathematics, statistics, or IT.
Basic programming skills in Python and SQL including writing simple queries and scripts.
Some exposure to at least one major cloud platform (AWS, GCP, or Azure) through study, projects or internships.
Work Experience Required: Not explicitly mentioned in the JD; recent graduates and early career candidates are encouraged to apply.
Early career professional with eagerness to learn foundational data platform engineering skills including cloud, SQL, Python, and data pipelines.
Comfortable working under guidance, open to feedback, and proactive in communication regarding task progress or blockers.
Demonstrates curiosity about how data tasks integrate with broader product or business context, with a strong motivation for continuous skill development.