Net2Source - Irving, TX
posted about 2 months ago
The GCP Data Engineer position is a contract role based in Irving, TX, offering a hybrid work environment. The ideal candidate will have over 12 years of total IT experience, with a strong focus on data engineering and analytics. The role requires extensive experience in SQL, Python, and PySpark, with a minimum of 5 years of hands-on experience with Google Cloud Platform (GCP) technologies, particularly BigQuery and Cloud DataProc. The successful candidate will work closely with implementation teams, providing deep technical expertise to deploy large-scale data solutions in both on-premise and cloud environments. In this role, you will collaborate with the data team to leverage the Google Cloud platform for data analysis, model building, and report generation. You will be responsible for integrating large datasets from various sources, transforming business problems into technical data challenges, and ensuring that key business drivers are captured in collaboration with product management. The position involves designing data processing pipelines and architectures, maintaining machine learning and statistical models, and performing data extraction, loading, transformation, cleaning, and validation. The role demands a proactive approach to designing and operationalizing enterprise data solutions using GCP data and analytics services, along with third-party tools such as Python, Pyspark, and Apache Spark. Candidates should have a proven track record of building production data pipelines within a hybrid big data architecture, demonstrating their ability to deliver end-to-end solutions at production scale.