Data Engineer/BI Developer-DA&A

About the role

This role validates functional behavior, module contracts, idempotency, parallel execution, approvals, failure diagnostics, resume/recovery, telemetry, security-adjacent controls, performance evidence, and operational readiness across defined data application patterns and multiple environments.

What you'll do

• Own the quality strategy and executable assurance for the onboarding self-service solution for data and BI workloads
• Validate functional behavior, module contracts, idempotency, parallel execution, approvals, failure diagnostics, resume/recovery, telemetry, security-adjacent controls
• Quality planning and traceability
• Create the master test strategy, test pyramid, environment approach, entry/exit criteria, defect workflow, evidence standards, and acceptance traceability matrix
• Map tests to both application patterns, all eight environments, one-time and per-environment modules, orchestration, approvals, dashboard, email

What you need

• 5–8 years in data science & ai
• ETL
• Python
• Data warehousing
• Kubernetes
• CI/CD
• Terraform
• Any graduate

Good to have

• Helm
• Test cases
• Test automation
• Unit testing
• PowerShell
• Bash