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Data engineer/Cloud - Toccoa, United States - Genesis Corp./New Journey AI LLC
Description
Entered Name Comment04/23/2024 09:43 AM Kim-Port, Eunice (Contract Labor Team - Americas)
Glider:
BOA-AppArch-V-1
This individual in Data Engineer role is responsible for tool and service designs within a technical domain that enable business strategies in accordance with architectural governance, standards, and policies.
The role facilitates design and deployment of cloud data analytics solutions by developing templates, playbooks and automation used during implementation.
They consistently look for opportunities to improve the reliability and efficiency when implementing and maintaining infrastructure tools and/or services. This individual embraces a culture that drives innovation and continuous improvement.Write data cloud infrastructure as code automation using tools such as Terraform.
Design and develop public cloud landing zones automation to build core cloud foundational data services.
Develop cloud data services provisioning automation with integrated capabilities of IAM, network, security policies as code, and observability.
Implement built-in resiliency, observability, and enable FinOps as a part of infrastructure automation to enable cloud IaaS and PaaS services
Develop and maintain cloud data services catalog.
Develop IaC and CI/CD pipelines to build the cloud data platform and data pipelines.
Collaborate with technical product management and operations, to deliver the engineering roadmap following the agile model.
Lead development of data products catalogue and cloud native data patterns
Partner with Information Security teams to engineer secure app patterns into cloud platforms.
Assist in translating business requirements into technical definitions, reference models, blueprints, and playbooks for deployment in compliance with architecture standards and policies.
Assist technical Analysts and Infrastructure Engineers by ensuring that technology solutions comply with enterprise system design and engineering standards.
Promote an inclusive and healthy working environment and help to resolve organizational impediments/blockers
Experience in landing zones, cloud-native security, monitoring and logging tools, and Well-Architected Data frame Framework principals (Data Mesh)
Implementation expertise in Azure data analytics technologies including Azure Data Factory, Azure Data Lake, Azure Databricks. Microsoft Purview and Power BI
Strong knowledge on Big Data architecture, ETL and other data processing architectures.
Significant experience writing Hashicorp Terraform configurations and modules.
Experience in DevOps and GitOps models with infra-as-code, config-as-code, policy-as-code, etc.
Proficient in translating designs into fully developed Terraform code.
Strong knowledge of Microsoft Azure Cloud, certification preferred. AWS and GCP desirable.
Solid understanding of cloud networking concepts, subnets, routing, load balancing, firewalls, and cloud security.
Experience in enterprise-scale environments, building highly available IaaS and PaaS solutions
Experience in programming and infra-automation tools Terraform, Ansible, Java, python, etc.
Experience in Cloud logging, monitoring, and observability tools
Proficient in at least one scripting language (i.e., Bash, Python).
Strong analytical, problem solving and organizational skills.
Excellent leadership and communication skills.
Excellent collaboration skills and ability to work in a global team.
Minimum of a 4-year degree in Computer Science or a related discipline.
Minimum 3 years of Cloud Data Engineer working experience.
Experience in financial services industry.
Experience on technology and infrastructure teams.
Experience in data governance, compliance and data controls design and implementation
CHANDLER Arizona
RICHMOND Virginia
Must Have
Technical
DevOps Specialist
and 0 years
Technical by default
Cloud Architect
and 0 years
DevOps
and 0 years
Microsoft Azure
and 0 years
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