Description
This position places strong emphasis on Google Cloud Platform (GCP), especially Tekton pipelines, Cloud Storage buckets, and Cloud Functions. The engineer will help design event-driven data workflows, automate deployment and testing, and implement cloud security controls as part of daily delivery. The role bridges data engineering and analytics, transforming and operationalizing data so teams can consume trusted insights faster.

Responsibilities
- Build and maintain analytics data pipelines and transformation workflows for powertrain datasets.
- Design and operate GCP-native solutions using Cloud Storage, Cloud Functions, Pub/Sub, and BigQuery.
- Develop and maintain Tekton CI/CD pipelines for analytics code, data pipelines, and infrastructure changes.
- Implement event-driven processing patterns using Cloud Functions triggered by bucket events, Pub/Sub, or HTTP.
- Engineer Cloud Storage bucket strategies, including naming, IAM, lifecycle policies, retention, and cost-aware tiering.
- Apply strong data governance practices: data quality checks, metadata standards, lineage,



and documentation.
- Support model and pipeline validation for data integrity, reliability, and production readiness.
- Build dashboards and reports that highlight trends, anomalies, and operational insights for engineering teams.
- Collaborate with calibration, controls, test, IT, and cybersecurity stakeholders to define and deliver requirements.
- Contribute to DevSecOps practices by integrating security scanning, secret management, and release controls into CI/CD.
- Monitor production services and pipelines using Cloud Logging, Monitoring, and alerting, and support incident response.
- Ensure compliance with enterprise data security, cybersecurity, and operational standards.

Qualifications
- Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or related field.

Experience
- 1-5+ years of relevant experience in data engineering, analytics engi

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