Optimizing Data Product Runtime Architectures

Há 3 dias


São Leopoldo, Rio Grande do Sul, Brasil beBeeDataCloudEngineer Tempo inteiro US$100.000 - US$150.000
Job Opportunity

We are seeking a highly skilled Data Cloud Engineer to optimize data product runtime architecture within our cloud-based environment. As a key member of our team, you will analyze Spark workloads, implement monitoring solutions, and collaborate with teams to enhance scalable and efficient data solutions.

Key Responsibilities:
  • Analyze Spark workloads to refine performance and optimize resource usage under close supervision.
  • Develop and maintain monitoring solutions for Spark applications, addressing basic performance issues and implementing best practices.
  • Collaborate with cross-functional teams to support frameworks that enable elastic scaling of workloads, driving business growth through efficient data processing.
  • Document optimization techniques and contribute to workshops to share insights with peers, promoting knowledge sharing and collaboration.
  • Participate in automation initiatives, applying AI concepts to improve data processing tasks and drive innovation.
Required Skills and Qualifications:
  • Solid understanding of distributed computing principles and their applications in data processing, including expertise in Apache Spark architecture and operations.
  • Proficiency in writing SQL queries and using DataFrames for data manipulation, as well as developing capability in troubleshooting and diagnosing runtime issues.
  • Familiarity with monitoring tools such as Spark's web UI and Grafana, with enthusiasm for learning AI and ML applications in data engineering tasks.
Benefits and Opportunities:
  • A collaborative and dynamic work environment with opportunities for professional growth and development.
  • The chance to work on complex data challenges and develop innovative solutions that drive business impact.
  • Access to cutting-edge technologies and tools, with training and support to help you succeed.


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