GCP ETL Data Engineer - Real-Time Streaming & Pipelines

Global Sumi Technologies Inc.,; Atlanta (GA); Sur place; USD 96 000 - 165 000; Temps partiel

Résumé du poste

Global Sumi Technologies Inc. is seeking a Data Engineer with ETL and Google Cloud Platform expertise for onsite roles in Atlanta, GA or Austin, TX.

The contract resource will focus on real-time streaming through Kafka and Pub/Sub, building and operating data pipelines on GCP, and managing deployments with CI/CD practices. The ideal candidate will have hands-on experience with distributed systems, event-driven architectures, and production support to ensure reliable data processing in production

Qualifications

• Streaming technologies: Apache Kafka, Kafka Streams, and Google Cloud Pub/Sub for real-time event ingestion and stream processing.
• Google Cloud Platform ecosystem: Experience building and operating event-driven data pipelines and cloud-native applications on Google Cloud Platform.
• Application development and deployment: Experience deploying, configuring, and managing applications across environments, including CI/CD pipelines, automated deployments, and production release management.

Responsabilités

• Ability to diagnose streaming pipeline issues, optimize performance, and ensure reliability of production workloads.
• Experience with event-driven architectures and monitoring of streaming applications.

Connaissances

Kafka

Kafka Streams

Google Cloud Pub/Sub

Google Cloud Platform

CI/CD pipelines

Production release management

Distributed systems

Production support

Outils

CI/CD tools

Description du poste

Global Sumi Technologies Inc. is seeking a Data Engineer with ETL and Google Cloud Platform expertise for onsite roles in Atlanta, GA or Austin, TX.

The contract resource will focus on real-time streaming through Kafka and Pub/Sub, building and operating data pipelines on GCP, and managing deployments with CI/CD practices. The ideal candidate will have hands-on experience with distributed systems, event-driven architectures, and production support to ensure reliable data processing in production