Senior Data Infrastructure Engineer

Contract role on W2 only

Job Description:

The Senior Data Infrastructure Engineer is responsible for orchestrating, deploying, maintaining and scaling cloud OR on-premise infrastructure targeting big data and platform data management (Relational and NoSQL, distributed and converged) with emphasis on reliability, automation and performance. This role will focus on support new Customer Services projects.

5-8 Years Experience

• Has experience working with Cloudera CDH and CDP as an admin
• Has experience and mindset working in an Enterprise environment where there are processes in place via ITIL and interact with multiple stakeholders from multiple departments/teams
• Work on complex, major or highly visible tasks in support of multiple projects that require multiple areas of expertise
• Excellent verbal and written communications skills
• Must be able to perform assigned tasks with minimum supervision
• Ability to work and collaborate in a fast pace and multi-tasking
• Excellent in monitoring and troubleshooting with across teams, with bug fixes, software upgrades and escalations.
• Experience with scripting and automation
• Strongly demonstrated knowledge of DB2
• Service Oriented Architecture (SOA) knowledge and experience with web services is strongly preferred, but not required
• Excellent problem-solving skills
• Strong analytical skills
• Familiar with structured programming techniques
• Strong documentation skills
• Experience working in an Agile environment is a plus

Software:

• 5-8 years of experience in administration and support of NextGen Platforms built with Cloudera and Big Data Technologies such as Hadoop, Flume, Solr, NiFi, HBase, Hue, Impala, Kafka, Kudu, Oozie, Spark, YARN, ZooKeeper, etc. as well as setting up cluster.
• 2+ years of experience with AWS (S3, RedShift, EC2, Lamda, IAM, DevOps, Replication and disaster recovery) is a PLUS
• 5-8 years of experience in a Linux and Apache processing environment
• 5-8 years of experience with Unix shell scripting, SQL, PL/SQL
• DevOps (CI/CD Pipeline)
• Applies and implements best practices for data auditing, scalability, reliability and application performance.

Skills :