Data Integration & Data Quality Engineer (GCP)

McKinney, TX - USA

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

Job Title: Data Integration & Data Quality Engineer (GCP)

Location: Mckinney TX

Duration: / Term: 6 months

Job Description:

Experience Desired: 10 Years

Job Description:

Data Integration & Data Quality Engineer to design and implement a scalable enterprise data architecture that consolidates customer data across ServiceNow SAP SAS and Cattell-type source systems into Google Cloud Platform (BigQuery). This role focuses on building robust ingestion pipelines validating data quality before consolidation and enabling trusted analytics through SQL-driven transformation layers and Power BI reporting.

Architect end-to-end data pipelines to ingest customer and operational data from multiple enterprise platforms into GCP BigQuery
Design scalable ETL workflows using Airflow orchestration SQL transformations
Build data validation frameworks to detect anomalies duplicates schema drift and integrity issues prior to consolidation
Develop standardized data models for telecom customer entities (accounts subscriptions usage billing support interactions)
Implement data quality rules reconciliation logic and monitoring dashboards
Collaborate with enterprise architects and business teams to define canonical schemas and integration patterns
Optimize query performance and storage design in BigQuery
Support downstream BI use cases using Power BI semantic models
Document architecture lineage and governance rules for enterprise consumption

Skills

Strong SQL expertise (advanced joins window functions optimization)
Experience building ETL pipelines and orchestration using Apache Airflow
Hands-on experience with GCP (BigQuery Cloud Storage IAM APIs)
Experience integrating enterprise platforms (SAP ServiceNow SAS or similar systems)
Strong understanding of data quality frameworks validation rules and reconciliation logic
Knowledge of data modeling (dimensional normalized models)
Experience building data pipelines handling large customer datasets
Ability to troubleshoot complex data inconsistencies across source systems

Preferred

Telecom domain experience (customer lifecycle billing provisioning usage data)
Experience designing enterprise master/customer data layers
Familiarity with data governance lineage and audit frameworks
Exposure to modern data architecture patterns (lakehouse medallion layers CDC pipelines)
Experience enabling analytics/reporting in Power BI or similar BI tools

Key Skills:

Data Quality Data Integration GCP ETL SQL BigQuery Cloud Storage.

Job Title: Data Integration & Data Quality Engineer (GCP) Location: Mckinney TX Duration: / Term: 6 months Job Description: Experience Desired: 10 Years Job Description: Data Integration & Data Quality Engineer to design and implement a scalable enterprise data architecture that consolidates custo...

Job Title: Data Integration & Data Quality Engineer (GCP)

Location: Mckinney TX

Duration: / Term: 6 months

Job Description:

Experience Desired: 10 Years

Job Description:

Architect end-to-end data pipelines to ingest customer and operational data from multiple enterprise platforms into GCP BigQuery
Design scalable ETL workflows using Airflow orchestration SQL transformations
Build data validation frameworks to detect anomalies duplicates schema drift and integrity issues prior to consolidation
Develop standardized data models for telecom customer entities (accounts subscriptions usage billing support interactions)
Implement data quality rules reconciliation logic and monitoring dashboards
Collaborate with enterprise architects and business teams to define canonical schemas and integration patterns
Optimize query performance and storage design in BigQuery
Support downstream BI use cases using Power BI semantic models
Document architecture lineage and governance rules for enterprise consumption

Skills

Strong SQL expertise (advanced joins window functions optimization)
Experience building ETL pipelines and orchestration using Apache Airflow
Hands-on experience with GCP (BigQuery Cloud Storage IAM APIs)
Experience integrating enterprise platforms (SAP ServiceNow SAS or similar systems)
Strong understanding of data quality frameworks validation rules and reconciliation logic
Knowledge of data modeling (dimensional normalized models)
Experience building data pipelines handling large customer datasets
Ability to troubleshoot complex data inconsistencies across source systems

Preferred

Telecom domain experience (customer lifecycle billing provisioning usage data)
Experience designing enterprise master/customer data layers
Familiarity with data governance lineage and audit frameworks
Exposure to modern data architecture patterns (lakehouse medallion layers CDC pipelines)
Experience enabling analytics/reporting in Power BI or similar BI tools

Key Skills:

Data Quality Data Integration GCP ETL SQL BigQuery Cloud Storage.