Data Engineer - AWS (Data Observability)

Implement monitoring and observability across enterprise data pipelines to ensure reliability and data trust.

• Build data quality checks freshness/volume/schema monitoring and alerting
  
• Set up observability tooling (e.g. Monte Carlo Great Expectations CloudWatch Datadog)
  
• Perform incident triage and root cause analysis; maintain SLAs and runbooks
  

Requirements

• Must have: 4 yrs AWS (Glue S3 Lambda Redshift CloudWatch) Python SQL data quality frameworks
  

Required Skills:

Required / Desired Skills Skill Required / Desired Amount of Experience Experience using Informatica Enterprise Data Catalog or similar Required 2 Years Personal and professional integrity with strong work ethics Required 2 Years Relationship Management: ability to develop and maintain relationships across IDOH divisions Required 2 Years Project Oversight: ability to align priorities with strategic initiatives Required 3 Years Decision-making: ability to identify root cause of issues and make sound and timely decisions to resolve problems Required 3 Years Excellent critical thinking time management and communication skills Required 4 Years Experience with data lineage tools and methods Highly desired 2 Years Ability to understand the data analysis life cycle and its application in a business setting Highly desired 3 Years Ability to take critical feedback in stride and adjust approaches accordingly Required 3 Years Effective in building trust respect and cooperation among teams Highly desired 2 Years Ability to use Outlook Word Excel and PowerPoint in a professional setting Required 4 Years