The Role
Build and maintain observability across enterprise data pipelines by implementing data quality, freshness, volume, and schema monitoring. Configure tooling such as Monte Carlo, Great Expectations, CloudWatch, and Datadog; create alerts, maintain SLAs and runbooks, and perform incident triage and root cause analysis. The role requires AWS data services, Python, SQL, and data quality framework expertise.
Summary Generated by Built In
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
Skills Required
- 4+ years of experience
- Experience with AWS Glue
- Experience with Amazon S3
- Experience with AWS Lambda
- Experience with Amazon Redshift
- Experience with Amazon CloudWatch
- Python proficiency
- SQL proficiency
- Experience with data quality frameworks
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The Company
What We Do
RADcube is a technology consulting and software development firm founded in 2015 and headquartered in Carmel, Indiana. It helps organizations turn enterprise ideas into practical innovations through digital transformation, custom software, data analytics, artificial intelligence, cloud computing, cybersecurity, and intelligent automation. The company serves healthcare, finance, government, and manufacturing clients, combining human-centric delivery with responsible, accountable technology solutions designed to produce measurable business outcomes.
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