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Tech Stack
Tools & technologiesAnsibleApacheChefETLHadoopHDFSJavaMapReduceNode.jsPerlPuppetPythonSOAPSpark
About the role
Key responsibilities & impact- 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
What you’ll need- Overall 8+ years IT experience, with 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 [Big Data Developers interested in Administration and consulting can also apply]
- Experience with Data Warehouse design, ETL (Extraction, Transformation & Load), architecting efficient software designs for DW platform.
- 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.
Benefits
Comp & perks- 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
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
HadoopNiFidata engineeringdata managementcluster managementApache HiveMapReduceSparkETLenterprise security
Soft Skills
communicationdocumentationpresentationcustomer requirements analysis