Senior GCP Data Engineer
Experience 8+ Years
Contract
Remote (LATAM)
Key Responsibilities
Design and implement a scalable centralized data warehouse using Google BigQuery.
Build and maintain data ingestion and integration pipelines across multiple source systems.
Develop robust ETL/ELT processes and data transformation workflows.
Design data models optimized for Subscriber Activation, Churn, FTE, and broader reporting and analytics use cases.
Integrate BigQuery with Power BI as the proposed reporting layer, with flexibility to support similar BI tools as needed.
Perform data transformation, cleansing, validation, and reconciliation.
Optimize BigQuery queries, storage, and overall pipeline performance.
Implement data quality checks, monitoring, logging, and error-handling mechanisms.
Work directly with client stakeholders to understand business and technical requirements.
Translate current and future reporting requirements into scalable technical solutions and clearly communicate technical approaches, dependencies, risks, and recommendations.
Support testing, deployment, troubleshooting, and production stabilization.
Required Skills & Experience
8+ years of overall experience in Data Engineering, Data Warehousing, or related areas preferred.
Strong hands-on experience with Google Cloud Platform (GCP) and BigQuery.
Strong expertise in BigQuery architecture, implementation, query optimization, and warehouse design.
Proven experience in data warehouse architecture, design, and implementation.
Strong experience with data ingestion/integration, ETL/ELT processes, and data pipeline development.
Strong SQL and data transformation skills.
Experience integrating data from multiple source systems.
Strong understanding of data modelling for reporting and analytics.
Experience integrating BigQuery with Power BI or similar reporting and visualization tools.
Experience with data quality, reconciliation, monitoring, and performance optimization.
Strong analytical and problem-solving skills.
Excellent verbal and written communication skills with strong client-facing capabilities.
Good to Have
Hands-on experience with GCP services such as Cloud Storage, Dataflow, Dataproc, Pub/Sub, and Cloud Composer.
Python experience for data engineering and automation.
Experience with Apache Airflow / Cloud Composer.
Knowledge of CI/CD and cloud deployment practices.
Understanding of GCP IAM, security, governance, and cost optimization.
Exposure to large-scale enterprise data migration or modernization programs.