Sr Hadoop Administrator

Capgemini; Toronto; On-site; CAD 80,000 - 120,000; Full time

Job summary

An established industry player is looking for a skilled Sr. Hadoop Administrator to enhance their dynamic data engineering team. This role involves the installation, configuration, and maintenance of Hadoop clusters, ensuring optimal performance and security. The ideal candidate will leverage their expertise in big data technologies to support analytics and business intelligence needs. Join a forward-thinking organization that values innovation and offers comprehensive benefits, including healthcare, financial well-being programs, and paid parental leave. If you are passionate about big data and thrive in a collaborative environment, this opportunity is perfect for you.

Benefits

Healthcare including dental and vision

Financial well-being programs

Paid time off and holidays

Paid parental leave

Family building benefits

Social well-being benefits

Mentoring and coaching programs

Employee Resource Groups

Disaster Relief

Qualifications

• Strong proficiency in Hadoop administration and managing large-scale clusters.
• Experience with security measures in Hadoop environments.

Responsibilities

• Install, configure, and maintain Hadoop clusters and related components.
• Monitor system performance and implement optimizations.
• Collaborate with data engineers and scientists for big data initiatives.

Skills

Hadoop Administration

Linux Operating Systems

Scripting (Bash, Python, Perl)

Hadoop Ecosystem (HDFS, YARN, MapReduce)

Security Implementation (Kerberos, Ranger)

Monitoring Tools (Nagios, Cloudera Manager)

Troubleshooting Skills

Networking Concepts

Version Control (Git)

Education

Bachelor's Degree in Computer Science or related field

Tools

Cloudera

Hortonworks

Apache Hadoop

Splunk

ELK Stack

Job description

Job Description - Sr Hadoop Administrator (079364)

Sr Hadoop Administrator - 079364

Job Title : Sr Hadoop Administrator, Data Platform

Location: Toronto

Job Summary:

We are seeking a highly skilled and experienced Sr. Hadoop Administrator to join our dynamic data engineering team. The ideal candidate will be responsible for the installation, configuration, maintenance, and performance optimization

of our Hadoop clusters and related big data technologies. You will play a critical role in ensuring the reliability, scalability, and security of our data platform, supporting our growing data analytics and business intelligence needs. This role requires strong technical expertise in Hadoop administration, excellent problem-solving skills, and the ability to collaborate effectively with cross-functional teams.

Responsibilities:

Install, configure, and maintain Hadoop clusters and related ecosystem components (e.g., HDFS, MapReduce, YARN, Hive, Pig, Spark, HBase, Kafka, ZooKeeper).
Monitor system performance, identify bottlenecks, and implement optimizations to ensure optimal efficiency and stability.
Perform capacity planning, resource allocation, and scaling of Hadoop clusters to meet growing data demands.
Implement and maintain security measures for Hadoop environments, including user access control, data encryption, and vulnerability management.
Troubleshoot and resolve complex issues related to Hadoop infrastructure and applications.
Develop and maintain scripts and automation tools for routine administrative tasks.
Collaborate with data engineers, data scientists, and application developers to understand their requirements and provide support for their big data initiatives.
Implement and manage backup and recovery strategies for Hadoop data and metadata.
Stay up-to-date with the latest Hadoop and big data technologies and best practices.
Document system configurations, operational procedures, and troubleshooting steps.
Participate in on-call rotation to provide support for critical production systems.
Contribute to the design and architecture of our evolving data platform.

Required Technical Skill Sets:
Operating Systems: Strong proficiency in Linux operating systems (e.g., CentOS, Red Hat, Ubuntu).
Hadoop Administration: Deep understanding and hands-on experience in administering and managing large-scale Hadoop clusters (Cloudera, Hortonworks, or Apache distributions).
Hadoop Ecosystem: Extensive knowledge of various Hadoop ecosystem components, including:
HDFS: Architecture, configuration, and management.
YARN: Resource management and job scheduling.
MapReduce: Understanding of the processing framework.
Hive: Data warehousing and SQL-like querying.
Spark: In-memory data processing and analytics.
HBase: NoSQL database integration.
Kafka: Distributed streaming platform.
ZooKeeper: Distributed coordination service.
Scripting and Automation: Proficiency in scripting languages such as Shell scripting (Bash), Python, or Perl for automation of administrative tasks.
Networking: Solid understanding of network concepts relevant to distributed systems.
Security: Experience implementing and managing security in Hadoop environments (Kerberos, Ranger, Sentry).
Monitoring and Logging: Experience with monitoring tools (e.g., Nagios, Ganglia, Cloudera Manager, Ambari) and log management systems (e.g., Splunk, ELK stack).
Troubleshooting: Excellent analytical and problem-solving skills to diagnose and resolve complex Hadoop issues.
Version Control: Familiarity with version control systems like Git.

Life at Capgemini

Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:

• Healthcare including dental, vision, mental health, and well-being programs
• Financial well-being programs such as 401(k) and Employee Share Ownership Plan
• Paid time off and paid holidays
• Paid parental leave
• Family building benefits like adoption assistance, surrogacy, and cryopreservation
• Social well-being benefits like subsidized back-up child/elder care and tutoring
• Mentoring, coaching and learning programs
• Employee Resource Groups
• Disaster Relief

About Capgemini

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to
engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion.

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.

Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.