Design, deploy, and manage cloud-native solutions using AWS services such as Glue, Lambda, S3, DynamoDB, Lake Formation, Athena, Redshift, and RDS.
Build scalable data lakes using S3 and Iceberg, ensuring secure and governed access to data for analytics and reporting
Implement event-driven workflows using Lambda, SNS, and EventBridge (AWS EventHub) for automation and real-time processing
Develop APIs and integrate services to support backend systems and client applications
Monitor, troubleshoot, and optimize infrastructure using CloudWatch and Grafana dashboards
Collaborate with cross-functional teams to define best practices, ensure security compliance, and align with business objectives
Automate deployments using CI/CD pipelines and Infrastructure as Code (IaC) frameworks
Mentor junior engineers and support knowledge-sharing across teams

Requirements

Be a computer science graduate or equivalent with 5-10 years of industry experience
Have working experience in an Agile base delivery methodology (Preferable)
Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution.
Excellent communicator (written and verbal formal and informal).
Participate in all aspects of Data solution delivery life cycle including analysis, design, development, testing, production deployment, and support.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

AWSGlueLambdaS3DynamoDBLake FormationAthenaRedshiftRDSCI/CD

problem resolutionflexibilityproactivityself-motivationcommunicationcollaborationmentoringknowledge-sharingownershipbest practices