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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As a Site Reliability Engineering - Sr. Consultant at PRE in Austin, you will play a pivotal role in ensuring the smooth operation of our Hadoop and related tools, such as Hive, SPARK, and HDFS. Your expertise will shine as you act as a single window support, conducting comprehensive root cause analysis for both platform and user code issues. You'll have the opportunity to suggest necessary system changes based on your findings from user logs and system activity. Collaborating with your team, you will direct members in creating efficient queries while applying your performance tuning and optimization strategies for big data technologies. In this role, you will also tackle complex technical issues across various tech teams, helping to identify root causes and coordinating the efforts to resolve them efficiently. The reliability engineering aspect of your work will involve generating reports that track performance and resolution metrics, allowing for proactive issue identification. Your ability to communicate effectively with clients across different time zones will ensure timely delivery of our services. In addition, you’ll contribute to knowledge sharing initiatives, helping to catalog important information and cross-train your peers. With ongoing learning about data science job trends, you’ll assist in optimizing cluster utilization while building and maintaining trusted relationships with teammates and customers. This hybrid position allows you to split your time between working from home and our office, fostering both individual focus and collaboration with the team.
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