Sr Hadoop Administrator

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Company: Capgemini

Location: Toronto, ON M4E 3Y1

Description:

About the job you're considering

Job Title : Sr Hadoop Admin, Data Platform
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.

Required Certifications:
While specific certifications are a plus, a strong understanding and proven experience in Hadoop administration are paramount. However, the following certifications are highly desirable:
Cloudera Certified Administrator for Apache Hadoop (CCAH)
Hortonworks Certified Apache Hadoop Administrator (HCA)
MapR Certified Hadoop Administrator (MCHA) (Note: MapR is now part of HPE Ezmeral)
Nice-to-Have Skills:

Cloud Platforms (Azure): Experience with Azure cloud services, particularly those related to data and analytics.
Azure Data Factory (ADF): Experience in designing, building, and deploying ETL/ELT pipelines using Azure Data Factory.
Databricks: Experience with the Databricks Unified Analytics Platform, including Spark optimization and cluster management.
Snowflake: Experience with the Snowflake cloud data warehouse platform.
Experience with containerization technologies like Docker and orchestration tools like Kubernetes.
Knowledge of data governance and data quality principles.
Experience with other NoSQL databases (e.g., MongoDB, Cassandra).
Familiarity with agile development methodologies.

Education and Experience:
Bachelor's degree in Computer Science, Information Technology, or a related field.
Minimum of 7 years of experience in administering and managing large-scale Hadoop environments.

Personal Attributes:
Strong communication and collaboration skills.
Ability to work independently and as part of a team.
Proactive and detail-oriented with a strong sense of ownership.
Ability to learn and adapt to new technologies quickly.
Excellent problem-solving and analytical skills.

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In a world where change happens in a split second, our clients must master the art of balancing business transformation with operational excellence and cost reduction to protect their market leadership and safeguard their workforce.

They need the best and brightest talent to limit business disruption and foster future growth, all while striving to realize a new normal. In this context, it's our people within Insights & Data that are the core enablers to support our clients in their growth journeys. To give our clients our best and brightest, we pride ourselves on being a fast-paced, fun, ethical place to work, where the "work hard, play hard" mentality holds true. Even more important is our clear commitment to creating a diverse workforce in all areas. In fact, for the ninth time in a row, Capgemini has been recognized as one of the World's Most Ethical Companies by the Ethisphere Institute. In addition, we've been recognized as a top company for women by Working Mother Media.

Capgemini's Insights & Data Americas practice is comprised of professionals with data, analytics, and AI expertise, covering the full data- and AI-powered transformation lifecycle. Our people extend into all industries we conduct work with our clients in the areas of; data science, data engineering, data strategy, intelligent process automation, data ecosystems, intelligent industry/IoT, enterprise management, customer-first marketing, and data partnerships/disruptors (such as SAP, Microsoft, Google, AWS, Snowflake, Oracle, Adobe, etc.).

We do great work at I&D that is at the forefront of innovation. We pride ourselves as an inclusive, talented, and accomplished workforce, so please contact us to explore your fit with us.

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:
  • Flexible work
  • 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.

Get the future you want | www.capgemini.com

Disclaimer

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.

Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

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.

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