Description

You will lead end-to-end business intelligence and data analytics projects, owning the full lifecycle from scoping to stakeholder communication.

This role is hybrid.

Responsibilities

• Design, develop, and maintain full-stack data analytics applications, including frontend and backend components.
• Support, maintain, and optimize development and production environments, including the continuous delivery pipeline.
• Incorporate API-enabled backend technologies into application architecture following established standards.
• Develop and implement comprehensive testing strategies and frameworks to ensure software quality.
• Collaborate with product owners using agile methodologies to deliver functional applications.

Required Skills

• Minimum 11 years of relevant Business or IT experience, or equivalent combinations of degrees and experience.
• Minimum 6 years of experience in data analytics or business intelligence.
• Hands-on experience with data pipeline creation, data engineering, and data warehousing.
• Proficiency with ETL/ELT tools including SQL, Informatica, AWS Glue, Databricks, and DBT.
• Experience building backend systems using AWS Lambda and API Gateway.
• Experience with frontend visualization tools such as Tableau and PowerBI.
• Expertise in agile development, test automation, and IT security best practices.
• Familiarity with continuous development and deployment tools including Git, Jenkins, Docker, and Kubernetes.
• Demonstrated thought leadership in driving best practice adoption across the full stack.

Preferred Skills

• Strong background in driving best practice adoption across the full stack.

Key Skills

Education

Any Graduate