USM
Start Date: Interview Types
Skills GCP Data Engineer Visa Types H1B, Green Card, US ..
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.
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.