Data Engineer
Core
Designing and implementing frameworks to monitor data health, detect anomalies, and enforce standards across complex data pipelines and platforms to ensure data accuracy and reliability for business decision-making.
Role type
Data Engineer (Data Reliability & Observability)
Builds
Automated data validation frameworks, observability tooling, and data governance standards
Domain
Enterprise Data Platforms, Cloud Data Engineering
Deliverable
production ML models | infrastructure
Required skills
SQL, Python, Data Observability, Data Governance, Distributed Data Architectures, SLA/SLO Definition, Root Cause Analysis
Preferred skills
Azure Ecosystem, ETL/ELT Pipelines, Data Lakes, CI/CD, Infrastructure-as-Code, Grafana, Monte Carlo, Acceldata, Informatica, Collibra, Microsoft Purview
Responsibilities
Design and implement data observability frameworks, define and manage data SLAs and SLOs, implement automated validation tooling, lead root cause analysis for data incidents, work across Data Engineering and Data Governance teams
Seniority
Mid-Senior, hands-on IC