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DevOps/Data Engineer

Fargo, ND, US • Posted 9 days ago • Updated 7 hours ago

Full Time

On-site

Fitment

Dice Job Match Score™

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Job Details

Skills

Management
Leadership
Big Data
Data Link Layer
Engineering Support
DevOps
Cloud Computing
SDK
Command-line Interface
UI
Virtual Private Cloud
Amazon Route 53
Amazon EC2
Amazon CloudFront
API
Amazon EFS
NFS
EBS
Amazon S3
Amazon RDS
Remote Desktop Services
Amazon SQS
Apache Kafka
Terraform
Databricks
Apache Spark
Data Modeling
Python
Docker
Kubernetes
Continuous Integration
Continuous Delivery
Git
CircleCI
Amazon Web Services
Relational Databases
Vulnerability Scanning
Dashboard

Management
Leadership
Big Data
Data Link Layer
Engineering Support
DevOps
Cloud Computing
SDK
Command-line Interface
UI
Virtual Private Cloud
Amazon Route 53
Amazon EC2
Amazon CloudFront
API
Amazon EFS
NFS
EBS
Amazon S3
Amazon RDS
Remote Desktop Services
Amazon SQS
Apache Kafka
Terraform
Databricks
Apache Spark
Data Modeling
Python
Docker
Kubernetes
Continuous Integration
Continuous Delivery
Git
CircleCI
Amazon Web Services
Relational Databases
Vulnerability Scanning
Dashboard

Summary

Job Description

Drive the infrastructure strategy alongside the rest of the DevOps team
Be responsible for building, managing, and automating our AWS infrastructure
Oversee the maintenance and growth of our data lakehouse infrastructure and implementation
Champion security by adopting necessary tools and processes
Provide leadership to the entire engineering team on various infrastructure and big data topics
Identify and adopt high-level technologies, processes, and services that impact the organization on a system-wide scope
Participate in the L2 rotation for engineering support

Requirements

8+ years of experience as a DevOps Engineer
5+ years of experience with the AWS cloud platform, including proficiency with AWS SDK, AWS CLI/UI, and services such as VPC, Route53, Private and Public subnets, route tables, IGW, EC2 Instances, CloudFront, API Gateway, IAM, ELB, Autoscaling, CloudWatch, EFS, NFS, EBS, S3, RDS, Lambda, SQS/SNS, Kafka, Security groups, etc.
5+ years of experience with Terraform/Terragrunt
5+ years of experience with event processing infrastructure
2+ years of experience as a Data Engineer with Databricks, including data pipelines, Debezium, Spark, and data modeling
Expert proficiency with Python
Model serving experience
Expert proficiency in deploying, maintaining, and scaling applications
Proficiency with Docker, Kubernetes, and Serverless functions
Expert proficiency in setting up CI/CD pipelines (tools/processes/governance)
Experience creating and maintaining fully automated CI/CD pipelines for code deployment using tools such as Git, CircleCI, AWS Code build, and Code Deploy / Code pipeline
Proficient with both Relational and Non-Relational databases
Experience with Security vulnerability scanning tools (Guard Duty, Inspector)
Experience building Monitoring dashboards and leveraging tools such as Cloudwatch, Datadog, and Sumologic

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 80183366
Position Id: 590c30845422a3dd88ad7de879b31e8d
Posted 9 days ago

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