Onsite Senior Google Cloud Platform Data Engineer in Irving, TX

We are seeking a highly motivated and experienced Senior Google Cloud Platform Data Engineer to join our growing team in Irving, TX. In this role, you will be responsible for designing, building, and maintaining cutting-edge data pipelines and solutions on the Google Cloud Platform (Google Cloud Platform). You will play a crucial role in enabling data-driven decision-making and powering innovative products and services.

Responsibilities:
Design, develop, and deploy robust and scalable data pipelines using Google Cloud Platform services such as BigQuery, Dataflow, Cloud Composer (Airflow), Pub/Sub, DataProc, and related technologies.
Process and transform large datasets from various sources, including real-time streaming data, using tools like Spark, Hadoop, and Kafka.
Optimize data pipelines for performance, cost-efficiency, and reliability.
Build and maintain data warehousing solutions on Google Cloud Platform, ensuring data quality and accessibility.
Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver impactful solutions.
Implement and maintain data security and privacy best practices.

Qualifications:

15+ years of experience in data engineering.
Strong proficiency in SQL and data modeling.
Extensive experience with Google Cloud Platform data services, including BigQuery, Dataflow, Cloud Composer (Airflow), Pub/Sub, and DataProc.
Hands-on experience with big data technologies such as Hadoop, Spark, and Kafka.
Proficiency in Python or Java for data processing and pipeline development.
Experience with data warehousing and ETL processes.

Preferred Experience:
Experience with CI/CD pipelines and infrastructure-as-code tools (e.g., Terraform).
Experience with data visualization tools (e.g., Looker, Tableau).
Google Cloud Platform certifications (e.g., Professional Data Engineer).

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