Job description

body> Contract Senior GCP Data Engineer (LATAM) Posted on 05 October 26 by Laks • • $ - $ Powered by Tracker Back to Jobs Job Description 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. Apply Now Job Information Rate / Salary $ - $ Sector Not Specified Category Not Specified Skills / Experience Not Specified Benefits Not Specified Our Reference JOB-7558 Job Location

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Senior GCP Data Engineer (LATAM)
Posted on 05 October 26 by Laks
Powered by Tracker
Back to Jobs
Senior GCP Data Engineer
Experience 8+ Years
Remote (LATAM)
 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
 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.

Nice-to-haves

 8+ years of overall experience in Data Engineering, Data Warehousing, or related areas preferred.

Application prep

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Keywords to mirror

gcpsqlpythonci/cd

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