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Staff Site Reliability Engineer

2 months ago

Austin, Texas, United States Visa Full time
Job Description

**About the Role**

We are seeking a highly skilled Hadoop System Engineer to join our team at Visa. As a key member of our reliability engineering team, you will be responsible for ensuring the stability and performance of our big data platforms.

Key Responsibilities

  • Single Window Support: Provide expert-level support for Hadoop-related issues, leveraging deep knowledge of Hadoop tools such as Hive, Spark, HDFS, and Yarn.
  • System Configuration: Collaborate with platform engineering teams to recommend necessary changes to the system, ensuring optimal performance and reliability.
  • Performance Tuning: Direct team members on crafting efficient queries and leveraging expertise in performance tuning and optimization strategies for big data technologies.
  • Issue Resolution: Troubleshoot and resolve complex technical issues, identifying root causes and coordinating with cross-functional teams to resolve issues.
  • Reliability Engineering: Develop and maintain reports to define performance and resolution metrics, generating alerts and performing automation and self-healing as needed.
  • Office Hours and Liaising: Collaborate with global teams to ensure timely client delivery, sharing knowledge and best practices through wikis and communications.
  • Knowledge Cataloging and Sharing: Develop and maintain a knowledge catalog, sharing expertise with peers across geographic regions.
  • Develop Standards: Establish and maintain standard configurations for various VCA workloads, ensuring optimal cluster health and efficient job execution.
  • Continuous Learning: Stay up-to-date with changing data science job requirements, collaborating with teams to improve cluster utilization and delivery.

Requirements

  • 5+ years of relevant work experience with a Bachelor's Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience.
  • Strong development skills on data pipelines using PySpark, Hive, Airflow.
  • Strong Troubleshooting and debugging skills.
  • Hands-on experience in managing Hadoop platforms, tuning application performance, and debugging Hadoop issues.
  • Experience working with scheduling tools (Airflow, Oozie) or building data processing orchestration workflows.
  • In-depth knowledge of Hadoop ecosystem/Architecture, including Zookeeper, HDFS, Yarn, Hive, and Spark.
  • Understanding of security tools like Kerberos and Ranger.
  • Excellent written and verbal communication skills.

Additional Information

  • Work Hours: Varies upon the needs of the department.
  • Travel Requirements: This position requires travel 5-10% of the time.
  • Mental/Physical Requirements: This position will be performed in an office setting, requiring the incumbent to sit and stand at a desk, communicate in person and by telephone, and frequently operate standard office equipment.