Teams at OneMagnify

The Senior Data Engineer designs and maintains production data pipelines on GCP using BigQuery, Dataform, Airflow, Dataflow, and Cloud Run. They own data validation, cleansing, troubleshooting, API integrations, and reliable datasets for analytics and AI/ML. The role also involves translating client requirements into data solutions, maintaining dashboards, supporting ad hoc requests, and applying Git, code reviews, and CI/CD practices.

Develops analytical deliverables, business and marketing performance reports, dashboards, and data visualizations. Queries and transforms large datasets, conducts customer and campaign analysis, automates data processes, and provides actionable insights for strategic decisions. Collaborates with clients and cross-functional stakeholders, presents findings, and serves as a subject matter expert in customer analytics, program effectiveness, and financial reporting.

Leads the architecture, development, and governance of enterprise-scale cloud data platforms on GCP. Designs data lakes, warehouses, marts, ETL/ELT frameworks, batch and event-driven pipelines, and analytics solutions. Provides technical leadership, mentoring, code and architecture reviews, and engineering standards. Ensures data quality, security, observability, monitoring, and governance while optimizing BigQuery performance and cloud costs. Collaborates with stakeholders to translate business requirements into scalable data products and supports production troubleshooting.