drjobs Staff Hadoop Admin & Tableau Admin Big Data Federal

Staff Hadoop Admin & Tableau Admin Big Data Federal

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Job Location drjobs

USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Please Note:  This position will include supporting our US Federal Government Cloud Infrastructure.

This position requires passing a ServiceNow background screening USFedPASS (US Federal Personnel Authorization Screening Standards). This includes a credit check criminal/misdemeanor check and taking a drug test. Any employment is contingent upon passing the screening.  Due to Federal requirements only US citizens US naturalized citizens or US Permanent Residents holding a green card will be considered.

As a Staff DevOps Engineer on our Big Data Federal Team you will help deliver 24x7 support for our Cloud infrastructure.

The Big Data team plays a critical and strategic role in ensuring that ServiceNow can exceed the availability and performance SLAs of the ServiceNow Platform-powered Customer instances - deployed across the ServiceNow cloud and Azure cloud.  Our mission is to:

Deliver state-of-the-art Monitoring Analytics and Actionable Business Insights by employing new tools Big Data systems Enterprise Data Lake AI and Machine Learning methodologies that improve efficiencies across a variety of functions in the company: Cloud Operations Customer Support Product Usage Analytics Product Upsell Opportunities enabling a significant impact on both the top-line and bottom-line growth.

The Big Data team is responsible for:

  • Collecting storing and providing real-time access to a large amount of data
  • Provide real-time analytic tools and reporting capabilities for various functions including:
    • Monitoring alerting and troubleshooting
    • Machine Learning Anomaly Detection and Prediction of P1s
    • Capacity planning
    • Data analytics and deriving Actionable Business Insights

What you get to do in this role:

  • Responsible for deploying monitoring maintaining and supporting Big Data infrastructure and applications on ServiceNow Cloud and Azure environments.
  • Deploy scale and manage containerized Big Data applications using Kubernetes docker and other related tools.
  • Proactively identify and resolve issues within Kubernetes clusters containerized applications and data pipelines. Provide expert-level support for incidents and perform root cause analysis.
  • Triage network-related issues in a containerized environment.
  • Provide production support to resolve critical Big Data pipelines application issues and mitigating or minimizing any impact on Big Data applications. Collaborate closely with Site Reliability Engineers (SRE) Customer Support (CS) Developers QA and System engineering teams in replicating complex issues leveraging broad experience with UI SQL Full-stack and Big Data technologies.
  • Responsible for enforcing data governance policies and the Definition of Done (DoD) in all Big Data environments.
  • Install configure and upgrade Tableau Server in a clustered environment. Manage user licensing site administration and content permissions.
  • Monitor Tableau Server performance health and usage; perform tuning to ensure optimal performance. Automate server monitoring and maintenance tasks using scripting (e.g. PowerShell Python) and the Tableau Services Manager (TSM) CLI.
  • Manage Tableau data source connections extracts and refresh schedules.
  • Implement and manage security best practices for the Tableau environment including user authentication (SAML Active Directory) and content-level security.

Qualifications :

To be successful in this role you have:

  • Experience in leveraging or critically thinking about how to integrate AI into work processes decision-making or problem-solving. This may include using AI-powered tools like Copilot Windsurf or similar to automate workflows analyzing AI-driven insights or exploring AIs potential impact on the function or industry
  • 6 years of experience working with systems such as HDFS Yarn Hive HBase Kafka RabbitMQ Impala Kudu Redis MariaDB and PostgreSQL
  • Deep understanding of Hadoop / Big Data Ecosystem.
  • Hands-on experience with Kubernetes in a production environment
  • Deep understanding of Kubernetes architecture concepts and operations
  • Strong knowledge in querying and analyzing large-scale data using VictoriaMetrics Prometheus Spark Flink and Grafana
  • Experience supporting CI/CD pipelines for automated applications deployment to Kubernetes
  • Strong Linux Systems Administration skills
  • Strong scripting skills in Bash Python for automation routine tasks.
  • Proficient with Git and version control systems
  • Familiarity with Cloudera Data Platform (CDP) and its ecosystem
  • Experience as a Tableau administrator configuring and administering Tableau Server with knowledge of Tableau Server best practices for scalability performance content management and governance.
  • Familiarity with Tableau Services Manager (TSM).
  • Ability to learn quickly in a fast-paced dynamic team environment and have a mindset to adapt to technology changes.

GCS-23

For positions in the Bay Area we offer a base pay of $163600 - $286300 plus equity (when applicable) variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline and individual total compensation will vary based on factors such as qualifications skill level competencies and work location. We also offer health plans including flexible spending accounts a 401(k) Plan with company match ESPP matching donations a flexible time away plan and family leave programs (subject to eligibility requirements). Compensation is based on the geographic location in which the role is located and is subject to change based on work location.

Not sure if you meet every qualification We still encourage you to apply! We value inclusivity welcoming candidates from diverse backgrounds including non-traditional paths. Unique experiences enrich our team and the willingness to dream big makes you an exceptional candidate!


Additional Information :

Work Personas 

We approach our distributed world of work with flexibility and trust. Work personas (flexible remote or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work. Learn more here.

Equal Opportunity Employer 

ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race color creed religion sex sexual orientation national origin or nationality ancestry age disability gender identity or expression marital status veteran status or any other category protected by addition all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. 

Accommodations 

We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process or are unable to use this online application and need an alternative method to apply please contact  for assistance. 

Export Control Regulations 

For positions requiring access to controlled technology subject to export control regulations including the U.S. Export Administration Regulations (EAR) ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. 

From Fortune. 2024 Fortune Media IP Limited. All rights reserved. Used under license. 


Remote Work :

Yes


Employment Type :

Full-time

Employment Type

Remote

Company Industry

Key Skills

  • Data Entry
  • Adobe Acrobat
  • AS400
  • EDI
  • Microsoft Outlook
  • Cloud Architecture
  • Microsoft Excel
  • Quick Books
  • Administrative Experience
  • Order Fulfillment
  • Project Implementation
  • Sales Support

About Company

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