Senior Data Engineer with ML & GenAI

Project Summary: Football team Mobile AppDevelopment

Objective: Design anddevelop a cutting-edge mobile application for the Football team to enhance fanengagement, optimize monetization, and deliver seamless stadium and remoteexperiences. This app aims to be an industry leader in technical capability anduser interaction.

Project Scope:

• Architecture Development: Create a scalable,     cloud-based infrastructure that can support millions of concurrent users     and integrate with existing systems like Ticketmaster and VenueNext.
• Machine Learning Integration: Implement ML models     for personalized content recommendations and user experience optimization.
• Data Integration & Management: Develop     efficient data pipelines for real-time processing and ensure seamless data     integration across the tech stack.
• Compliance & Security: Ensure the architecture     adheres to WCAG, GDPR, and CCPA standards, implementing strong security     protocols.
• Cross-Platform Experience: Collaborate with UI/UX     teams to deliver a consistent, high-quality user experience across iOS,     Android, and tablets.

Responsibilities:

1.  Data Architecture andIntegration:
Develop and maintainscalable, cloud-based data architecture using AWS services, including Glue,Lambda, S3, and Redshift.
Implement ETL processes and real-time data pipelines for efficient datahandling and integration.

2.  Machine LearningDevelopment:
Build, train, and deploymachine learning models using SageMaker, scikit-learn, XGBoost, and TensorFlowto personalize app experiences and improve engagement.
Manage ML pipelines and maintain a model registry for version control andefficient model deployment.

3.  Automation and Monitoring:
Utilize AWS StepFunctions and CloudWatch for orchestrating and monitoring workflows andensuring system reliability.
Implement CI/CD practices using CodePipeline and CodeBuild to streamlinedevelopment and deployment processes.

4.  Infrastructure andSecurity Management:
Leverage Terraform forprovisioning and managing cloud infrastructure; ensure security and compliancethrough IAM best practices.
Employ Docker for containerization and efficient resource management acrossdevelopment environments.

5.  Collaboration andOptimization:
Work closely with UI/UXdesigners and developers to integrate data-driven features and optimize appfunctionality across platforms.
Generate actionable insights from data analysis to inform strategicdecision-making and enhance user engagement.

Qualifications:

• Proficiency in Python and SQL for developing     scalable data solutions.

• Extensive experience with AWS cloud services,     particularly in the areas of data integration, machine learning, and     infrastructure management.

• Strong expertise in machine learning frameworks     and tools, with practical experience in deploying models in production     environments.

• Familiarity with CI/CD practices and tools for     automating development and deployment tasks.

• Ability to collaborate effectively with     cross-functional teams and translate business needs into technical     solutions.

Good to know beforeconsidering this project:

We expect top notchdelivery work. Also we are looking for the right mindset:

Acting as a professional(quality, behavior, work attitude)

Detail oriented approach(dev testing, adhering to ways of working, …)

Ownership andresponsibility (being responsible for your area of development and being proudof what has been done)

Being able to presentyourself / the work you or your team delivered

Proactivity (activelycommunicating when you need something or you’re blocked, following up, helpingothers, etc)

The team needs a “cando” approach type of people and “team players”

Taking in the negativefeedback constructively and being able to constructively give feedback (statingproblem, suggesting improvements, stressing benefits)

Start date: ASAP

HackerRank Challenge: Yes

Remote vs Onsite: Remotely

US Hours overlapneeded?: Minimum2-6pm CET, preferred 2-7pm CET

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