Position: Data Engineer (AWS)
Company: Boyle Software
Category: DevOps
Experience required: 3y
English level: upper

Boyle Software, a subsidiary of Beyondsoft Consulting, Inc., is a global Products, IT Consulting, Solutions and Services provider. 

We are looking for a Data Engineer to join our team full-time remotely on a project for a large US-based financial services company.

What you will do:

Supporting the growth of the data analytics platform, including, but not limited to AWS & GCP tools for Map Reduce, Object storage, data warehouses and marts, utilizing automation build tools and practicing Infrastructure as Code.
Building automation to further simplify the development and promotion process
Continuously tuning the organization’s existing data analytics practices, helping to define, standardize and measure data analytics activities, demonstrating concrete improvements to data analytics platforms within the organization
Ensuring proper monitoring is crafted to provide support teams capability to respond to issues; develops monitoring and visibility capabilities; reports on incidents, vulnerabilities, and trends
Integrating into cloud team across all cloud specialties and standards, not being limited to only data analytics.

Qualifications:

5+ years experience in Software Engineer, Data Engineering, or similar with an emphasis on infrastructure
Experience with data analytics platforms of the major cloud providers utilizing cloud-native solutions.
The Data Engineer must have experience working in Cloud environments, specifically AWS or GCP, with strong basic knowledge of major cloud components such as: roles, compute, database, object storage, horizontal & vertical scaling
Operational knowledge of CI/CD pipelines, Git, Ansible, Terraform, Python, and Agile.

Desired qualifications: 

Ability to solve complex issues with re-usable frameworks
Ability to quickly learn technologies such as Terraform, Kubernetes, Apache Beam, and Kafka