Data Ops Engineer

Role Description

Configure/maintain/apply security patches to the infrastructure on which the data platform is based, ensure the deployment and the 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 our data and manipulate it
• 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 have a secure infrastructure and guarantee a stable environment to the stakeholders
• deployment of the pipeline to ensure high quality and efficiency of the release process and also in the productive environment.
• They work closely with the Data Architect to monitor the target architecture.
• Communicate with Scrum Master to escalate impediments or improvement for the wagon.
• They work closely with the data scientist to operationalize the ML models within the Data Platform.
• They work closely with the Product Owner and Scrum Master to execute the task assigned to achieve the goal of the wagon.
• You will participate in team and train ceremonies: PI planning, Sprint planning, Retrospectives, Daily scrum or stand up meetings.
  
  

Requirements:

This is you!

• You are enthusiasm to work in an European team to develop the technical capabilities in a common European Data Platform
• Have an Agile mind-set and you 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
  
  

Top 5 Admiral Skills

• Accountability: Level C - Show initiative with a willingness to act proactively when faced with new or blocking situations, applying measures themselves, identifying and taking advantage of opportunities to improve results.
• Commitment: Level C - Focus the work on the achievement of the company’s objectives, showing loyalty and honesty. Transmits a positive image of the company to the exterior.
• Think Big: Level C - Shares information with others and is concerned about seeking alternative sources (personal, technical, group) of knowledge.
• Teamwork: Level D - Promote cooperation between areas and multidisciplinary teams maintaining positive relations in all environments.
• Goals Orientation: Level D - Establish demanding goals and objectives, improving performance, efficiency or the work system, exceeding the usual standards.

European team to develop the technical capabilities in a common European Data Platform