דרושים Data Infrastructure Engineer (Student) ביקנעם

משרה מעולה לסטודנט/ית

data infrastructure engineer (student) - yokneam

overview: this role is intended for an m.sc. student with hands-on industry or other experience who will focus on maintaining and operating production-grade data pipelines. the position is centered on databricks-based data workflows, scripting, and reliable data delivery, serving as a key enabler for the ai team’s ongoing development and research needs. the role focuses on practical, hands-on data operations to ensure reliability and consistency across ai workflows, working closely with the data infrastructure engineer responsible for data architecture, governance, and platform-level decisions within an established environment. key responsibilities: · maintain and extend databricks-based pipelines for ingesting, transforming, validating, and versioning structured and semi-structured data. · develop python scripts and notebooks for data extraction, processing, automation, and ad‑hoc dataset preparation for ai use cases. · manage datasets across azure data platforms (adls gen2, blob storage, delta tables), including storage, access, and historical reprocessing to handle schema changes. · implement data quality checks, logging, and lightweight monitoring to ensure stable, traceable production data flows. qualifications and experience: · m.sc. student in computer science, data engineering, information systems, biomedical engineering, or related field, with at least one year remaining, and 1+ year of industry or military experience working with real-world or production data systems. · strong python proficiency for maintainable data processing and automation, with solid sql skills (joins, performance, analytical queries) and hands-on git experience in shared codebases. · experience with databricks or spark-based environments (notebooks, scheduled jobs) and cloud data platforms (azure or aws), including managed storage and reliable, reproducible data pipelines. · familiarity with time-series or signal-based data (advantage for physiological/cardiac signals such as ecg). · independent problem solver who works well in a collaborative environment with data infrastructure and ai teams.

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