Data Pipeline Architect

1 semana atrás

Porto Alegre, Rio Grande do Sul, Brasil beBeeDataReliabilityEngineer Tempo inteiro R$35.000 - R$50.000
Job Title: Data Reliability Engineer

We are seeking an experienced Data Reliability Engineer to join our team at TELUS Digital in Porto Alegre, Brazil. As a key member of our data engineering team, you will be responsible for designing and implementing scalable data pipeline architectures, optimizing data pipeline efficiency, and ensuring the reliability of our data pipelines.

Key Responsibilities:
  • Design and implement scalable data pipeline architectures in collaboration with Data Engineers.
  • Continuously optimize data pipeline efficiency to reduce operational costs and minimize issues and failures.
  • Monitor performance and reliability of data pipelines, enhancing reliability through data 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 Data Engineering teams, conduct capacity planning for data storage and processing needs.
  • Develop and maintain comprehensive documentation for data pipeline systems and processes.
Requirements:
  • 5+ years of hands-on experience in supporting data engineering teams, with a strong emphasis on data pipeline enhancement and optimization, and data 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 minimizing 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.

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