GCP Data Engineer

Tittle : GCP Data Engineer

Location : Cincinnati OH (day 1 onsite)

Rate : $60 / Hr on C2C

Responsibilities :

• Design and build scalable data pipelines to ingest, process, and transform structured, semi-structured, and unstructured data from heterogeneous sources.
• Develop batch and streaming pipelines using Pub / Sub, Dataflow, Cloud Run, and Cloud Functions for real-time and near-real-time processing.
• Implement data models and optimize performance for OLTP and OLAP sinks, including Cloud Spanner, BigQuery, and relational stores.
• Participate in mainframe modernization initiatives, extracting, transforming, and migrating legacy datasets into GCP-native platforms.
• Ensure data quality, lineage, and governance practices using GCP-native tools.
• Collaborate with business and application teams to deliver end-to-end data solutions.

Requirements :

• Strong experience with GCP services : Pub / Sub, Dataflow, Cloud Run, Cloud Spanner, BigQuery.
• Hands-on with Python / Java / Scala for data engineering pipelines.
• Good knowledge of mainframe data formats (COBOL copybooks, VSAM, DB2) and integration with modern platforms.
• Solid understanding of OLTP vs OLAP workloads and best practices for optimization.
• Familiarity with DevOps practices for CI / CD on GCP.