Design and implement cloud-based data solutions utilizing GCP services,
Lead the development of data pipelines and distributed frameworks that ensure scalability, optimal performance, and long-term reliability,
Create and define data models, patterns, and automation frameworks for modern data ecosystems, including lifecycle management and orchestration,
Translate business and data analytics needs into strong cloud architectures, working closely with solution architects, data modelers, and cross-functional global teams.
Ensure the integrity, security, visibility, and compliance of data at every stage of the data pipeline.
Apply DevOps and CI/CD practices to enable consistent, high-quality delivery of solutions.
Provide mentorship to junior and mid-level engineers, advocate for best practices, and contribute to the ongoing improvement of engineering processes.
Keep up-to-date with emerging trends in cloud data engineering, big data technologies, serverless computing, and AI/ML platform advancements.
Elvárások
Extensive experience as a Data Engineer,
Experience working with cloud technology
Knowledge of GCP is an advantage
Experience working with big data,
Proficiency working with Python,
MSc or BSc degree from a relevant field.
Having previous mentoring, leadership experience is a further advantage.
Amit kínálunk
Attractive compensation and benefits package,
Hearth insurance,
AYCM sports card,
Medicover White health insurance package,
Flexible work environment (flexible hours, high home office percentage).
A munkavégzés helye
Magyarország
Jelentkezés módja
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