Our client is looking for a Geospatial Big Data and Cloud Ops Engineer to be involved in the design of big data solutions that leverage open source and cloud-based solutions. This person will participate in the building of large-scale data processing systems, should be an expert in data warehousing solutions, and will be able to work with the latest (NoSQL) database technologies across AWS and Google cloud.

A big data engineer understands how to apply technologies to solve big data problems and to develop innovative big data solutions. The big data engineer generally works on implementing complex big data projects with a focus on collecting, parsing, managing, analyzing, and visualizing large sets of data to turn information into insights using multiple platforms. The big data engineer should be able to develop prototypes and proof of concepts for the selected solutions. 

Responsibilities:

• You will work with other SREs and Software Engineers to “automate all things” for our hybrid cloud platform.

• Build tooling to improve CICD patterns for multiple development teams that are consistent with security and DevOps best practices

• Creating tooling to around GitOps to automate the deployment of code and infrastructure

• Coordinate and assist teams in building competencies with infrastructure using object-oriented programming and configuration management domain specific language

• Create Terraform artifacts to automate the deployment and management of Cloud Infrastructure

• Create Kubernetes related artifacts based on Kustomize

• Continuously improve the observability of the Location360 tech stack by integrating logging, testing, metrics, tracing, dashboards, and alerts with CD pipelines

Required Qualifications:

• Experience working with large geospatial data sets applying GDAL and similar spatial libraries

• Ability to quickly learn technologies such as Terraform, Packer, FastAPI, Kubernetes, Nginx, Elasticsearch, PostgreSQL, AWS, GCP, Grafana, Kibana and Google Data Studio

• Basic understanding of OAuth 2.0 and Open ID Connect

• Software engineering experience with programming languages like Python, GoLang or Java

• Experience with python3, java, PostgreSQL, erlang, redshift, javascript, BigQuery, Cloud Spanner

• Experience building CI/CD pipelines

For more information please reach out to [Click Here to Email Your Resumé]