Data Engineer - AWS

• Strong hands-on experience designing and developing data and processing solutions in AWS.
• Hands-on experience working in complex AWS environments with multiple systems, processes, integrations, and dependencies.
• Strong understanding of workflow and process orchestration concepts.
• Hands-on experience designing, implementing, or optimizing automated workflows and processing pipelines.
• Hands-on experience with relevant AWS data, compute, event-driven, and orchestration services.
• Strong Python and/or SQL skills.
• Hands-on experience with distributed processing and cloud-based data architectures.
• Strong understanding of dependency management, scheduling, event-based processing, retries, error handling, and failure recovery.
• Hands-on experience implementing logging, monitoring, alerting, and operational observability.
• Ability to identify bottlenecks, unnecessary dependencies, failure points, and optimization opportunities.
• Ability to evaluate architectural alternatives and make recommendations based on operational and business requirements.
• Demonstrated ability to translate high-level business objectives into technical requirements and solution designs.
• Strong team orientation and ability to collaborate effectively across technical and business teams.

Preferred Skills

• Experience supporting large-scale enterprise AWS environments.
• Experience with AWS-native workflow and orchestration services.
• Experience with event-driven architectures.
• Experience with Apache Airflow or comparable orchestration platforms.
• Experience with distributed data-processing technologies.
• Familiarity with DevOps, CI/CD, and infrastructure automation.
• Experience with cloud performance and cost optimization.
• Strong troubleshooting and root-cause-analysis capabilities.
• Strong people skills and a collaborative, team-first mindset.
• Ability to build strong working relationships across organizational boundaries.
• Excellent written and verbal communication skills.
• Strong architectural judgment and ability to explain technical tradeoffs to non-technical stakeholders.

• Assess existing AWS processes, workflows, integrations, schedules, and dependencies
• Partner with business and technical stakeholders to understand operational objectives, pain points, and future-state requirements
• Translate those objectives into technical orchestration and architecture requirements
• Design and recommend approaches for improving orchestration across complex AWS environments
• Identify opportunities to simplify dependencies, improve concurrency, reduce processing times, and increase reliability
• Develop and maintain cloud-based data pipelines and automated workflows
• Design appropriate monitoring, alerting, error handling, retry, and recovery capabilities
• Evaluate existing technical designs and recommend improvements based on business value, complexity, cost, scalability, and risk
• Work collaboratively with engineers, architects, application teams, infrastructure teams, and business partners
• Support teammates, share expertise, and contribute constructively to technical discussions and problem-solving
• Create clear technical documentation and architecture recommendations
• Communicate complex architecture and orchestration concepts clearly to business stakeholders and senior leadership