Big Data DevOps Engineer
Job Description
Company Description
zData Inc is taking Big Data to a new level by providing best-in-class Big Data, advanced analytics and data warehousing solutions and services that utilize enterprise and open source. Our solutions allow decision makers to quickly and affordably perform complex analysis of terabytes of data to accelerate and improve business decisions. zData is partnered with companies like GCP, AWS, Confulent, Azure, EMC, VMware, Cisco and Pivotal to provide breakthrough products and services around cloud and the Big Data space.
Job 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)
Qualifications
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.
Additional Information
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.