Big Data DevOps Engineer
Listed on 2026-10-11
-
IT/Tech
Cloud Computing: Infrastructure & Operations, Data Engineering
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.
This position will report to the Dev Ops Managed Services division andbe responsible for creating and maintaining Dev Ops 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, No
SQL, EMR, Pivotal Cloud Foundry, Kafka, Elastic Search) - Comfortable working in a Linux environment
- Familiarity with software development practices such as Agile, Pair, XP
- Familiarity with code repository tech (GIT)
- 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.
- Annual salary DOE
- Excellent full benefits package; bonus potential.
- 40 hour work week.
- Up to 50% travel
- Business Casual dress & Business Professional dress.
By clicking the link above or any third-party link within this posting, you are leaving this site and going to a third-party website where the third-party website's terms and privacy policy apply
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).