Big Data DevOps Engineer
Description
This position will report to the DevOps Managed Services division and be responsible for creating and maintaining DevOps environments for ZData clients.
Summary Description:
- Participate in design, implementation and automation of system architectures that scale with custom requirements.
- Create and support cloud (AWS and GCP) and local cluster environment and infrastructure.
- Assist with automation of builds and deployment of software products.
- Prepare and implement data security, backup and disaster recovery.
- Help optimize software development and deployment
- Experience programming and/or scripting (python or java preferred)
- Experience working with Ansible and Terraform
- Exposure to big data technologies (Hadoop, Spark, NoSQL, EMR, Pivotal Cloud Foundry, Kafka, ElasticSearch)
- Comfortable working in a Linux environment
- Familiarity with software development practices such as Agile, Pair, XP
- Familiarity with code repository tech (GIT)
Preferred qualification:
● Ability to learn quickly
● Hands on experience using Massively Parallel Processing technology
● Exposure to one or more MPP DBMS (Teradata, Vertica, Netezza, Greenplum)
● Expert in Ansible and Terraform
● Experience with Big Data Technologies.
● Experience with Data Warehousing and ETL/ELT
● Experience with AWS, Google Cloud
● Bachelor's Degree
● 5+ years of technical expertise.
● Ability to Travel.
This position includes the following:
● Annual salary DOE
● Excellent full benefits package; bonus potential.
● 40 hour work week.
● Up to 50% travel
● Business Casual dress & Business Professional dress.
