Back
Metro location, common senior software title, and broad cloud/Python requirements increase applicant competition.
Cloud and data platform skills are transferable across industries, though sector-specific data acquisition adds some specialization.
Role mandates specific cloud, infra and CI/CD skills and platform experience, raising shortlisting rigidity.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, develop and maintain scalable, resilient, and secure data scraping systems and pipelines.
Collaborate with multiple teams to solve complex technical challenges related to Python, AWS, microservices, and CI/CD pipelines.
Drive technical evolution of the Data Platform by implementing modern software engineering practices and enabling adoption across teams.
Strong hands-on experience with Python and AWS services including ECS, Lambda, Glue, Docker/ECR, Terraform-driven infrastructure automation.
Experience in web-based application development, microservices architecture, and cloud deployment.
Proficiency with CI/CD pipelines (specifically Jenkins) and familiarity with infrastructure as code tools like CloudFormation.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced engineer with deep expertise designing and operating scalable AWS-based data and backend platforms.
Capable of leading cross-team technical collaborations and guiding adoption of new platform capabilities.
Knowledge of modern metadata/data catalog platforms (Datahub) and scripting languages (TypeScript/Node.js) would be advantageous but not mandatory.