GCP Data Engineer (F2F Interview)

$124,800 - $135,200/Yr

Net2Source - Irving, TX

Full-time - Mid Level

Irving, TX

Administrative and Support Services

About the position

The GCP Data Engineer role involves working closely with implementation teams to deploy large-scale data solutions using modern data and analytics technologies on both on-premise and cloud environments. The position requires deep technical expertise in Google Cloud Platform (GCP) and related technologies to analyze data, build data models, and generate reports and visualizations. The engineer will also be responsible for integrating massive datasets, designing data processing pipelines, and maintaining machine learning models.

Responsibilities

• Work with implementation teams from concept to operations, providing technical expertise for deploying large scale data solutions.
• Collaborate with the data team to utilize Google Cloud Platform for data analysis, modeling, and reporting.
• Integrate large datasets from multiple sources for effective data modeling.
• Translate business problems into technical data challenges while collaborating with product management.
• Design and implement data processing pipelines and architectures.
• Create and maintain machine learning and statistical models.
• Extract, Load, Transform, clean, and validate data.

Requirements

• 12+ years of experience in data engineering.
• 7-10 years of experience with SQL.
• 7-10 years of experience with Python/Pyspark.
• 5 years of experience with GCP, BigQuery, and Cloud DataProc.
• Active Google Cloud Data Engineer Certification.
• Hands-on experience in designing and operationalizing large-scale enterprise data solutions using GCP services.

Nice-to-haves

• Experience with Teradata/Oracle, Informatica/AbInitio/Datastage, Hadoop, Hive, Apache Spark, Cloud Pub/Sub, Cloud Spanner, Cloud SQL, Data Fusion.

Benefits

• Competitive hourly rate of $60-65/hr on C2C.
• Flexibility in rate for candidates with 14+ years of experience.