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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Are you an experienced Site Reliability Engineering - Sr. Consultant looking for a new opportunity in Austin? At PRE, we are searching for someone like you to support our Technical Hadoop-related issues, ensuring our VCA data scientists have a seamless experience. In this role, you'll leverage your expertise in Hadoop and its associated tools—especially Hive, SPARK, and HDFS—to conduct complete root cause analysis (RCA) on both platform and user-related queries. You will collaborate with various tech teams to troubleshoot complex issues and recommend system configurations that optimize performance. One of your key responsibilities will be guiding team members on crafting efficient queries, utilizing your skills in performance tuning and optimization strategies for big data technologies. Furthermore, you'll create reports that define performance and resolution metrics to proactively identify issues, generating alerts whenever necessary. Our hybrid work environment will allow you to balance remote work with in-office collaboration 2-3 days a week, enabling you to liaise efficiently across multiple time zones to ensure timely client delivery. Continuous learning is essential in this role as the data science landscape evolves, and we encourage sharing knowledge across geographic regions through Wikis and effective communication. If you’re passionate about reliability engineering and want to develop a trusted relationship with both the team and our business partners, we'd love to hear from you!
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