Job Description :
Job Title: DevOps Engineer w/Data Pipeline No. Of Opening: 1 Duration: 6 Months+ Location: Remote across USA Interview process: 1 Round with ITP + 1 -2 Round with Customer Client is looking for a seasoned DevOps Engineer that is familiar with building Data Pipelines and ML Use Cases. Job Responsibilities: Automate build, test, and package code with Terraform using Git and Gitlab Develop and maintain scalable data pipelines and build out new API integrations Create data tools for analytics and data scientists to optimize data Creation and automation using Lambda Must Have’s: 4+ years of experience specifically in AWS DevOps using Git/Python(Boto 3)/Terraform 4-6 years of general DevOps experience 2+ years with AWS Service Control Policies Experience with data visualization using Python (R for creating PDFs, for example) Highly experienced in the use of continuous integration tools and infrastructure automation with Terraform Strong analytic skills related to working with unstructured datasets Experience with data tools: Snowflake and Sagemaker Kafka and MSK experience are a plus Minimum Experience: 4+ years of experience with object-oriented/object function scripting languages: Python 4-6 years of related experience; Highly experienced with Terraform and Terragrunt wrapper 4+ years using Python Boto3 libraries 4+ years using AWS Lambda 2+ years with AWS Organizations 2+ years of recent experience with building and deploying infrastructure in AWS 2+ years working with full Git pipeline and CI/CD
             

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