The Self-Service Analytics Platform enables data-driven decision-making and advanced analytics through intuitive tooling built on Cloud Data Hub assets. The platform supports low-code, no-code, and high-code analytics solutions including dashboards, time-series analysis, ML-based workflows, and advanced analytics applications.

The successful candidate will be responsible for designing, developing, and supporting scalable full stack and data-driven solutions while collaborating with global teams in an Agile environment.

Responsibilities

• Develop and maintain applications and processes on the analytics and data platform
  
• Build scalable APIs, ETL pipelines, and data-driven applications
  
• Develop solutions using Python, SQL, Spark, and AWS technologies
  
• Collaborate with international teams on development and operations
  
• Conduct system testing, implementation, and quality assurance activities
  
• Review and propose system designs and technical solutions
  
• Prepare technical and system documentation
  
• Implement and maintain automated testing processes
  
• Monitor system security findings and resolve vulnerabilities
  
• Assist with AWS networking and infrastructure configuration
  
• Support Agile delivery processes and participate in continuous improvement initiatives
  

Requirements

Essential Skills & Experience

• Proven experience in Data Intelligence and Business Intelligence
  
• 5+ years’ experience building Big Data Pipelines (ETL, SQL, Spark, PySpark)
  
• Strong AWS development experience
  
• CI/CD pipeline development using GitHub Actions and CodeBuild
  
• Experience with API and ETL development
  
• Frontend development exposure with tools such as Angular, React, or Figma
  
• Knowledge of BI tools such as Tableau, Qlik, or PowerBI
  
• Experience with AWS services including:
  
• API Gateway
  
• Lambda
  
• DynamoDB
  
• Glue
  
• Athena
  
• EMR
  
• IAM
  
• Fargate
  
• AWS networking knowledge (VPCs, Subnets, Gateways, Routing, Direct Connect, Private Links)
  
• AWS security knowledge including IAM, KMS, ACM, and Secret Manager
  
• Strong Git branching and development practices
  
• Test Driven Development, Unit Testing, Functional Testing, and Test Automation
  
• Experience with Playwright or similar testing tools
  
• Terraform and Infrastructure as Code deployments
  
• Experience working with structured and unstructured databases
  
• Linux scripting and environment management
  
• Strong programming skills in Python (preferred), Java, and SQL
  
• Experience with AWS S3 Storage, Iceberg Tables, and AWS Data Pipelines
  

Advantageous Skills

• Palantir Foundry experience
  
• Docker and containerisation
  
• Apache Kafka or other data streaming services
  
• Jira, Confluence, and Agile methodologies
  
• GitHub Copilot
  
• Knowledge of clean coding standards and PEP8
  
• Experience with monitoring, alerting, and security best practices
  
• Understanding of Data Structures and Algorithms
  
• Integration between multiple technologies and systems
  
• ODBC and file sync experience
  
• ITSM / PIC process knowledge
  
• User support and ticket management
  
• Exposure to frontend BI tools such as PowerBI, Tableau, and QlikView