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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Looking for an exciting opportunity to dive into the world of site reliability engineering? Then look no further! As a Senior Consultant - Site Reliability Engineering at PRE in Austin, you'll play a crucial role in ensuring the reliability and performance of our Hadoop ecosystem. Your days will be filled with leveraging your deep understanding of Hadoop and tools like Hive, SPARK, and HDFS to conduct thorough root cause analysis for both platform and user code-related issues. You'll also recommend vital system configuration changes and lead your team in crafting efficient queries that optimize performance for big data technologies. Collaboration is key, as you'll troubleshoot complex technical issues across various tech teams, coordinating effectively to identify root causes and solutions. Additionally, you'll create insightful reports that define performance metrics, enabling the proactive identification of emerging issues. As you liaise with peers across regional offices, you’ll ensure smooth communication and timely client delivery, sharing your knowledge through resource hubs like Wikis. Want to maintain excellent cluster health? You'll prepare standard configurations to enhance workload efficiency while continuously learning and adapting to the ever-evolving landscape of data science jobs. This hybrid position offers flexibility, allowing you to alternate between remote work and collaborating in the office. If you're passionate about creating reliable systems and fostering strong relationships with teammates and clients alike, we'd love to hear from you!
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