Single window support: Leverage deep understanding of Hadoop and its related tools specially Hive, SPARK, HDFS and do complete RCA be it platform or user code/config related.
System configuration: Recommend necessary changes to the system to DAP platform engineering by checking system activity and user logs for triaging and troubleshooting.
Performance Tuning: Direct team members on crafting efficient queries, leveraging expertise in performance tuning and optimization strategies for big data technologies.
Issue resolution across Tech teams: Troubleshoot and resolve complex technical issues. Identify root causes, finding which Tech/Data platform team can fix it and coordinating among those teams.
Reliability engineering: Creating reports to define performance and resolution metrics for proactively identifying issues and generating alerts.
Office hours and liaising: Calls across regions in multiple time zones to ensure timely client delivery.
Knowledge cataloging and sharing: Share knowledge and cross-train peers across geographic regions using Wikis and communications. Provide comms around issues/outages affecting multiple users.
Develop Standards: The team would prepare standard configuration for a variety of VCA workloads to make the jobs run with optimal settings to maintain good cluster health while executing the jobs efficiently.
Continuous Learning of VCA workload: Continuously learn and stay updated with the changing nature of data science jobs to help improve Cluster utilization.
With active engagement, collaboration, effective communication, quality, integrity, and reliable delivery, develop and maintain a trusted and valued relationship with the team, customers, and business partners.
This is a SRE Role to provide support for Technical hadoop related issues impacting VCA data scientists users on day to day basis. it includes performance tuning, SPARK optimization, Data Availability, Issue triages and user communication.
This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.
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At PRE, we're on the lookout for a talented Site Reliability Engineering - Sr. Consultant to join our dynamic team in Austin! In this pivotal role, you will leverage your deep understanding of Hadoop along with tools like Hive, SPARK, and HDFS to provide invaluable support to our VCA data scientists. Your expertise will be crucial in performing complete root cause analyses to identify and resolve system or user code/config-related issues. As a consultant, you'll recommend system configurations and guide your colleagues in crafting efficient queries, enhancing the performance of big data technologies. Your ability to troubleshoot complex technical problems will be key as you work across various tech teams to find root causes and facilitate their resolution. In addition to issue resolution, you’ll be responsible for creating reports to define performance and resolution metrics, proactively identifying potential issues, and generating alerts to ensure smooth operations. Communication is vital, and you will be liaising with global teams, maintaining a support presence across multiple time zones to deliver timely results. You’ll also help cultivate a collaborative culture by sharing knowledge with peers and developing standards for VCA workloads to optimize job efficiency. This hybrid position offers you the flexibility to work both remotely and in the office, ensuring a balanced approach to work-life integration while you expand your skills in a fast-evolving data science landscape. If you're passionate about fostering reliability and enjoy tackling challenging technical issues, we’d love to hear from you!
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