Beschreibung
Hadoop DevOps Engineer
Project
You will have the opportunity to build and maintain a big data platform together with the team of engineers and systems experts. In addition, you will help to operate Palantir Foundry running on our Cloudera Hadoop Farm. Multiple terabytes of data are added each day and data scientists crunch through them with the help of Palantir Big Data technology.
You will be responsible for deploying, automating, maintaining, troubleshooting and improving the systems that keep the Back End infrastructure running smoothly. The role requires you to have hands-on technical experience and a can-do approach towards environment automation/management and continuous improvement
Key Responsibilities
- Responsible for monitoring business applications and services in production, mainly based on strategic Big Data platform
- Handling incident tickets as well as customer calls
- Responsibility for Batch job monitoring and troubleshooting
- Parsing and analysing data feeds as well as error checking
- Writing and running scripts on DB for ad-hoc reports
- Application/component administration on Windows/Unix Servers
- Software release and problem management
- Coordination for Disaster Recovery Testing
- Automation of support activity
- Support DevOps principle throughout the team
Essentials Skills and Qualifications
- Over 3 years of experience as a Hadoop Devops Engineer
- Cloudera Hadoop certification or equivalent extensive work experience
- Experienced Linux engineer
- Good knowledge of software life cycle management
- Good knowledge of Cluster Management
- Good experience with incident management support
- High analytic and problem solving skills
- Good prioritization and time management skills
- Bright, fast, positive and motivated, with a clear 'can-do, will-do' attitude
Desired Skills and Qualifications
- Prior experience in Production Support and ITIL processes
- Experience in Tableau admin is advantage
- Experience in Control M jobs/Rundeck jobs
- Exposure to SQL syntax (select, joins, deletes)/databases
- Used to working in an international and multicultural settings
- Experience in coordinating with different stakeholders from IT and Business side
- "Hadoop and Big Data" based tools and technologies along with Java applications
- Understand SSL/Kerberos authentication