Description

Key Responsibilities

• Implement logical and physical data models and ETL/ELT pipelines to consolidate compliance data.
• Build and maintain event-driven integration components, such as data pipelines, Lambda functions, and Step Functions workflows.
• Implement backend services including APIs, workflow orchestrations, and dashboard backends.
• Write, test, and deploy well-written, maintainable, and secure production code.
• Implement data quality checks, validation, and monitoring for compliance-critical datasets.
• Extend existing services to support new compliance requirements and jurisdictions.
• Build components that handle sensitive regulatory data with appropriate encryption and access controls.
• Contribute to self-service analytics through reporting tools and dashboards.
• Maintain production systems with comprehensive monitoring, alarming, and logging.
• Participate in code reviews, design discussions, and sprint ceremonies.

Required Qualifications

Education: A Bachelor's degree in Computer Science, Engineering, Data Science, or a related field is required.

Experience: 3+ years of data engineering experience, including data modeling, pipeline development, and data warehouse design, along with 3+ years of non-internship professional software development experience building production services.

Technical Skills: Proficiency in Python, Java, or TypeScript; strong SQL skills; and experience with AWS services such as Lambda, API Gateway, Step Functions, and DynamoDB.

Preferred Qualifications

• Experience building event-driven architectures using Step Functions, EventBridge, or SQS/SNS.
• Experience with serverless development patterns on AWS.
• Experience with infrastructure as code (CDK, CloudFormation).
• Familiarity with regulatory compliance or telecommunications domains.
• AWS certification

Key Skills

Education

Bachelor's degree