Feladatok:
- 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.
Ajánlatunk:
- Attractive compensation and benefits package,
- Hearth insurance,
- AYCM sports card,
- Medicover White health insurance package,
- Flexible work environment (flexible hours, high home office percentage).
Google Cloud Platform, GCP, Big Data, Python, Cloud Computing, Data Engineering, Big Data Analytics, Continuous Integration and Continuous Delivery, CI/CD, Azure, Amazon Web Services, AWS, Management
Munkavégzés helye:
Munkavégzés helye
Magyarország