GCP Data Engineer

Location:  Irving, TX (Hybrid)
Duration:  12 Month Contract

Overview: 

This position is focused on IAM Data Lake -Data Engineering responsibilities. We are seeking a Data Engineer with hands-on experience building Data Lake in Google Cloud Platform using big data tools and technologies. Experience with Hadoop/HDFS is highly desirable. Detailed requirements are listed below. Preferred location is Dallas, TX; Ohio is also an acceptable alternative.

• Strong understanding of Google Cloud architecture, including bucket structuring, naming standards, lifecycle management policies, and access control mechanisms.
• Hands-on experience working with columnar data formats such as Parquet, Avro, and ORC, along with associated compression strategies.
• Experience building both batch and streaming ingestion pipelines using GCP-native services.
  Knowledge of Pub/Sub–based streaming architectures, including event schema design, schema evolution, and versioning best practices.
• Familiarity with incremental ingestion techniques and Change Data Capture (CDC) patterns.
• Understanding of data consumption and exposure patterns including views, APIs, and curated analytical datasets.

Skills & Experience:

• Airflow 2 - 4 Years 
• API 4 - 6 Years        
• CI/CD 2 - 4 Years   
• Data Modeling 2 - 4 Years 
• data pipelines         4 - 6 Years        
• Data Processing 4 - 6 Years             
• Google Cloud Platform 4 - 6 Years
• pyspark 4 - 6 Years
• Hadoop Ecosystem 1 - 2 Years