Big Data DevOps Engineer

zdata; Boise (ID); On-site; USD 110,000 - 180,000; Full time

Benefits offered by this job

Excellent benefits package

Bonus potential

Travel opportunities

Job summary

zData Inc is seeking a seasoned DevOps Engineer to design, implement and automate scalable architectures for our Big Data and analytics platforms, spanning cloud (AWS, GCP) and on-prem clusters.

You will optimize build and deployment pipelines, ensure data security and disaster recovery, and collaborate with data engineers to accelerate delivery of analytics solutions. The role requires hands-on scripting, Ansible/Terraform expertise, and a passion for cloud-native infrastructure.

Qualifications

• 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.
• 5+ years of technical expertise.
• Ability to Travel.

Responsibilities

• 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).

Skills

Programming/Scripting

Education

Bachelor's Degree

Tools

Ansible

Terraform

Git

Job 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 willreport to the DevOps Managed Services division andbe 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

• 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

• Annual salary DOE
• Excellent full benefits package; bonus potential.
• 40 hour work week.
• Up to 50% travel
• Business Casual dress & Business Professional dress.

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