Data Engineer
Job Description
Build and maintain reliable data pipelines and models (SQL Server/SSIS/DBT/Python/Fivetran) and contribute to DataOps, testing, and deployment automation so each work item reaches 'Ready for QA' with high first‑pass quality.
Key Responsibilities
Develop ETL/ELT components and DBT models following standards and peer review.
Instrument pipelines with validations and basic observability (logs, metrics, alerts).
Write unit/integration tests; package and deploy via CI/CD; contribute to documentation and runbooks.
Support BA in mapping source→target and implementing acceptance criteria; collaborate with Scrum Master on sprint commitments.
Assist in defect triage and timely remediation within sprint.
Outcomes & KPIs
Consistent delivery to DoD with improving First‑Pass Quality.
Adherence to data quality checks; on‑time pipeline runs against schedule.
Qualification
3–6 years in data engineering with strong SQL and working experience in SSIS and/or DBT; Python for transformations/utilities.
Familiarity with Fivetran connectors, Tableau/SSRS, and Git‑based development; exposure to CI/CD and observability preferred.
Tools & Stack (Pod)
Data: SQL Server, SSIS, DBT, Python, Fivetran
BI/Reporting: Tableau, SSRS
DevOps/Workflow: Azure DevOps (ADO), GitHub (migration/hardening), CI/CD
Governance: Collibra (lineage/catalog), Apigee/OutSystems (where applicable)
About The Global Business Services
A dynamic offshore hub based in the Philippines, serving as a vital extension of its parent organization’s operations. As an internal support center, it delivers high-impact services across multiple departments, including technology, compliance, finance, and operations, supporting various lines of business.