BigData DevOps Engineer at Experian

Heredia, , Costa Rica -

Full Time

Start Date

Immediate

Expiry Date

02 Jun, 26

Salary

0.0

Posted On

04 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Hadoop, AWS EMR, Terraform, IaC, CI/CD, SDLC, DevOps, Kerberos, HDFS, Hive, HBase, YARN, Kafka, Spark, Ansible, Python

Industry

Information Services

Description

Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create digital marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realise their financial goals and help them to save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agrifinance, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data and to innovate. A FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 23,300 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com. Job Description As an important aide to both the IT Infrastructure and Development teams, you will help support existing systems 24x7 and responsible for administering current Big Data environments. You will manage BigData Group environments and will work with teammates to maintain working solutions for our big data tech stack. To support product development following the product roadmap for product maintenance and enhancement such that the quality of software deliverables maintains excellent customer relationships and increases the customer base. You will report to the Engineering Manager, Data Platforms. If you have the skills and we would love to talk to you! What you'll do: Implement, support, and administer Hadoop and AWS EMR environments. Maintain Terraform and IaC for provisioning and managing AWS resources. Provide CI/CD solutions and apply SDLC best practices. Automate deployment and operations of Big Data technologies using DevOps tools. Onboard Hadoop users and manage Kerberos, HDFS, Hive, HBase, and Yarn access. Implement security best practices across HBase, HDFS, Kafka, Hive, and related components. Tune Hadoop clusters, MapReduce, Spark workloads, and optimize EMR for performance and cost. Monitor group health, logs, storage, and perform proactive capacity management. Collaborate with infrastructure, network, DB, application, and BI teams to ensure platform reliability. Support upgrades and patching for EMR, HBase, Spark, and other data platforms. Troubleshoot system issues and analyze CPU, memory, OS, storage, and network performance. Deploy and manage Hadoop clusters, configure HA, manage nodes, schedule jobs, and perform backups. Support integrations across cloud/on‑prem networks and data platforms. Configure and maintain tools like Sentry, Spark, Kafka, Oozie, Solr, MongoDB, DocumentDB, and ELK. Integrate AD/LDAP with Cloudera, manage Sentry policies. Qualifications Typically requires a bachelor's degree (in Computer Science or related field) or equivalent. 5+ years of Hadoop infrastructure administration – AWS EMR or Cloudera environments 2+ years of Linux (Redhat) system administration (Optional) Cloud Platforms IaaS/PaaS – Cloud solutions: AWS, Azure, VMWare. Gen AI / Agentic AI knowledge is plus Automation skills – Ansible and Terraform. Kerberos administration skills Experience coding languages SQL, Python Good experience in CI/CD tools such as Jenkins, Puppet and Shell scripting Must have knowledge on DevOps tools. Working Knowledge of YARN, HBase, Hive, Spark, and Kafka. Experience working with geographically distributed teams Bachelors or master's degree in Computer Science or equivalent experience Knowledge of our strategy and use of back-office applications. To multi-lingual and multicultural environment, additional language skills are a bonus. Receptive to change. With our users at all levels. Additional Information Our benefits include: Medical, life and dental insurance, Asociacion Solidarista, International Share Save Plan, Flex Work/Work from home, Paid time off, Annual Performance Bonus, Education Reimbursement, Family Bonding, Bereavement Leave, Referral Program, and more. At Experian, our people and culture set us apart. We're deeply committed to creating an environment where everyone feels they belong and can excel. From inclusion and authenticity to work/life balance, development, wellness, collaboration, and recognition, we focus on what truly matters. Our people-first approach has earned us global recognition: World's Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ 2025 in 26 countries, and Glassdoor Best Places to Work 2024, among others. Want to see what life at Experian is really like? Explore Experian Life on social or visit our Careers Site. Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. Employee Status: Regular Role Type: Hybrid Department: Information Technology & Systems Schedule: Full Time

Responsibilities

The role involves supporting existing 24x7 Big Data environments, administering current Big Data Group environments, and maintaining working solutions for the big data tech stack. Responsibilities include implementing, supporting, and administering Hadoop and AWS EMR environments while applying SDLC best practices.