CCT - AWS Cloud Data Engineer
Requirements
• Minimum 5 years of applicable work experience. This level of knowledge is normally acquired through completion of a Bachelor’s Degree in a data-centric field (Computer Science, Economics, Information Systems, Data Analytics, etc.) and 3 years’ experience with demonstrated track record of successful technical leadership in the execution of large-scale data projects or equivalent combination of education and experience. • Strong analytical skills and the ability to translate data into actionable insights. • Excellent technical writing and oral communication skills. • Experience collaborating cross-functionally with internal and external stakeholders. • Travel Expectations: 0% • Ability to pass stringent background investigations, required
Responsibilities
• Serve as a shared resource across product teams to provide expertise and scalable solutions for data integration, modeling, and analytics across all products. • Design and implement scalable data pipelines using AWS services such as AWS Glue, AWS Data Pipeline, and Amazon Kinesis. • Create and maintain all Infrastructure-as-Code (IaC) for primary product teams using tools like AWS CloudFormation or CDK. • Develop and maintain data storage solutions using Amazon S3, Redshift, RDS, DynamoDB, or other AWS-managed databases. • Design and develop code pipelines for our primary product application to: • Build application components. • Run automated tests created by the QA team. • Execute static code analysis. • Allow or prevent commits or PR merges based on predefined quality thresholds. • Deploy and manage AWS infrastructure resources as needed to support organizational and product-specific goals. • Implement monitoring, logging, and centralization of application instrumentation for real-time insights and troubleshooting. • Optimize ETL workflows to efficiently manage data across diverse sources and destinations. • Set up and manage AWS IAM policies, roles, and security-related configurations to ensure secure access and data protection. • Stay updated on AWS innovations and recommend tools or best practices to enhance the organization’s data ecosystem. • Create comprehensive documentation and provide training for AWS-based data solutions, ensuring knowledge transfer and ease of use. • Ensure all data processes and systems adhere to security best practices, aligning with OWASP Top 10, CWE Top 25 guidelines, and CIS AWS Foundations Benchmark.
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