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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Join us at PRE as a Site Reliability Engineering - Sr. Consultant in Austin, where you will dive into the exciting world of Hadoop and its ecosystem! This role is all about providing single-window support and ensuring our clients have a seamless experience. Your deep understanding of tools like Hive, SPARK, and HDFS will come into play as you conduct thorough root cause analysis (RCA) for platform issues or user configurations. You'll be the go-to person for system configuration changes, analyzing user logs and system activities to troubleshoot and triage effectively. Performance tuning is key; you'll lead your team in crafting efficient queries, optimizing big data technologies for peak performance. You'll also be crucial in resolving complex technical issues and coordinating with various tech and data platform teams to identify root causes, making sure nothing falls through the cracks. Reliability engineering is a big part of your role, where you'll create reports to track performance metrics and proactively identify potential issues. As you build bridges across time zones, knowledge sharing will be center stage; your expertise will empower your peers, ensuring they're informed and up to date. In the bustling hybrid work environment, you're expected to establish strong, trusted relationships with clients, businesses, and your team. If you’re passionate about improving the lives of data scientists and enjoy a blend of office and remote work, we encourage you to apply and see the impact you can make at PRE!
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