Key skills
AnsibleApacheChefETLHadoopHDFSJavaMapReduceNode.jsPerlPuppetPythonSOAPSparkShellBashData EngineeringAnalyticsLDAP
About this role
Role Overview
- Work directly with customers to implement Big Data solutions at scale using the Cloudera Data Platform and Cloudera Dataflow
- Design and implement CDP platform architectures and configurations for customers
- Perform platform installation and upgrades for advanced secured cluster configurations
- Analyze complex distributed production deployments, and make recommendations to optimize performance
- Able to document and present complex architectures for the customers technical teams
- Work closely with Cloudera teams at all levels to help ensure the success of project consulting engagements with customer
- Write and produce technical documentation, blogs and knowledgebase articles
- Keep current with the Hadoop Big Data ecosystem technologies
Requirements
- Overall 8+ years IT experience
- At least 4+ years of production experience working with Hadoop and/or NiFi, data engineering
- Hands-on experience with all aspects of developing, testing and implementing low-latency big data pipelines
- Demonstrated production experience in data engineering, data management, cluster management and/or analytics domains
- Experience designing data queries against data in the HDFS environment using tools such as Apache Hive
- Experience implementing MapReduce, Spark jobs
- Experience setting up multi-node Hadoop clusters
- Experience in systems administration or DevOps experience with one or more open-source operating systems
- Experience with Data Warehouse design, ETL (Extraction, Transformation & Load)
- Experience implementing operational best practices such as alerting, monitoring, and metadata management
- Strong understanding with various enterprise security practices and solutions such as LDAP and/or Kerberos
- Experience using configuration management tools such as Ansible, Puppet or Chef
- Familiarity with scripting tools such as bash shell scripts, Python and/or Perl
- Experience with Apache NiFi is desired
- Significant previous work writing to network-based APIs, preferably REST/JSON or XML/SOAP
- Understanding of the Java ecosystem and enterprise offerings, including debugging and profiling tools (e.g. jstack, jmap, jconsole), logging and monitoring tools (log4j, JMX)
- Ability to understand and translate customer requirements into technical requirements
- Excellent verbal and written communications
Tech Stack
- Ansible
- Apache
- Chef
- ETL
- Hadoop
- HDFS
- Java
- MapReduce
- Node.js
- Perl
- Puppet
- Python
- SOAP
- Spark
Benefits
- Generous PTO Policy
- Support work life balance with Unplugged Days
- Flexible WFH Policy
- Mental & Physical Wellness programs
- Phone and Internet Reimbursement program
- Access to Continued Career Development
- Comprehensive Benefits and Competitive Packages
- Paid Volunteer Time
- Employee Resource Groups