
Data Reliability Engineer
Há 2 dias
Welcome to a role where innovation meets impact.
This is an award-winning opportunity to shape the future of digital experiences through cutting-edge technology and agile thinking.
Our team delivers transformative digital solutions and customer experiences for industry leaders.
Key Responsibilities:- Design and implement scalable data pipeline architectures in collaboration with experts.
- Optimize data pipeline efficiency to reduce operational costs and minimize issues and failures.
- Monitor performance and reliability of data pipelines, enhancing reliability through quality analysis and testing.
- Build and manage automated alerting systems for data pipeline issues.
- Automate repetitive tasks in data processing and management.
- Develop and manage disaster recovery and backup plans.
- In collaboration with other teams, conduct capacity planning for data storage and processing needs.
- Develop and maintain comprehensive documentation for data pipeline systems and processes, and provide knowledge transfer to colleagues.
- 5+ years of hands-on experience in supporting data engineering teams, emphasizing data pipeline enhancement and optimization, and integration.
- Proficient in cloud computing, preferably Google Cloud Platform (GCP), but AWS and Azure are also valid.
- Experience with cloud data-related services such as BigQuery, Dataflow, Cloud Composer, Dataproc, Cloud Storage, Pub/Sub, or the correlated services from other providers.
- Solid proficiency with Python in terms of data processing.
- Knowledge of SQL and experience with relational databases.
- Proven experience optimizing data pipelines toward efficiency, reducing operational costs, and reducing the number of issues/failures.
- Solid knowledge of monitoring, troubleshooting, and resolving data pipeline issues.
- Familiarity with version control systems like Git.
- Strong English communication and documentation skills.
DataReliabilityEngineer
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