GCP Data Engineer

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