Dataops Engineer

Dataops Engineer
Empresa:

Admiral Seguros


Detalles de la oferta

Role Description Configure, maintain, and apply security patches to the infrastructure on which the data platform is based. Ensure the deployment and CI/CD of the data or ML delivery.

Monitor the performance of the data pipeline and/or the ML models.

Key Objectives Implement and configure the tools needed to access and manipulate our data. Apply security patches to the different infrastructural components. Work with the Data Architect to ensure development is aligned with the target architecture. Develop and deploy the delivery pipelines involved in the Data Platform. Operationalize the ML models within the Data Platform. Maintain and monitor the different environments for each country. Main Responsibilities Maintain an agile mindset every day. Interact with security, networking, and platform teams to ensure a secure infrastructure and guarantee a stable environment for stakeholders. Deploy the pipeline to ensure high quality and efficiency of the release process and in the production environment. Work closely with the Data Architect to monitor the target architecture. Communicate with the Scrum Master to escalate impediments or improvements for the wagon. Collaborate closely with data scientists to operationalize the ML models within the Data Platform. Work closely with the Product Owner and Scrum Master to execute tasks assigned to achieve the goals of the wagon. Participate in team and train ceremonies: PI planning, Sprint planning, Retrospectives, Daily scrum or stand-up meetings. Requirements: This is you!

You are enthusiastic about working in a European team to develop technical capabilities in a common European Data Platform. You have an Agile mindset and are open to new ideas and creative ways to work. You are organized and get things done! Must have: Spark, PySpark, Python, SQL Docker, Git, Gitflow, Jupyter Notebook, pip, R, Java AWS Cloud Services (EKS, EC2, S3, VPC, RDS, IAM, SQS, SNS, ECS, ECR, Fargate, API Gateway, CloudWatch, CloudFront, RedShift, Kinesis, Glue, Athena, GuardDuty, Inspector, Transcribe, Polly, Lex...) IaC: Terraform, CloudFormation, CDK Nice to have: Data warehouses modeling BI tools: Microstrategy, Quicksight, Tableau
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Fuente: Jobleads

Requisitos

Dataops Engineer
Empresa:

Admiral Seguros


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