Certified Cloud Engineer

Candidates MUST be WI residents or willing to relocate to WI at their own expense prior to starting. This position can work 100% remotely (within the state of WI).

AWS Engineer

The Universities of Wisconsin Enterprise Analytics Platform (EAP) team supports the development and support of the data lake for the UW System Office and member universities. We are seeking an experienced AWS Redshift Data Engineer to assist our team in designing, developing, and optimizing data pipelines for our AWS Redshift-based data lake house. Priority needs are cloud formation and event-based data processing utilizing SQS to support ingestion and movement of data from Workday to AWS Redshift for consumer and analytic use.

Key Responsibilities :

• Collaborate with data engineering, business analysts, and development teams to design, develop, test, and maintain robust and scalable data pipelines from Workday to AWS Redshift.
• Architect, implement, and manage end-to-end data pipelines, ensuring data accuracy, reliability, data quality, performance, and timeliness.
• Provide expertise in Redshift database optimization, performance tuning, and query optimization.
• Assist with design and implementation of workflows using Airflow.
• Perform data profiling and analysis to troubleshoot data-related challenges / issues and build solutions to address those concerns.
• Proactively identify opportunities to automate tasks and develop reusable frameworks.
• Work closely with version control team to maintain a well-organized and documented repository of codes, scripts, and configurations using Git / Bitbucket.
• Provide technical guidance and mentorship to fellow developers, sharing insights into best practices, tips, and techniques for optimizing Redshift-based data solutions.

Required Qualifications and Skills :

Additional Useful Experience :

Required Skills : Cloud SQL,AWS Cloud Formation

Additional Skills : Cloud Engineer,AWS Engineer