Google Cloud Platform (GCP) Data Engineer

Hyring

Charlotte, NC

Job Description: Google Cloud Platform (GCP) Data Engineer

Location: Charlotte, NC – 300 S Brevard St

Schedule: Hybrid

Interview Process: In person Interview

Do not pass up this chance, apply quickly if your experience and skills match what is in the following description.

Job Overview

We are seeking a hands-on Google Cloud Platform (GCP) Data Engineer with strong experience developing real-time streaming data pipelines and cloud-based data processing solutions. The ideal candidate will have expertise in GCP services, Python, Apache Beam, Java, Spring Boot, and SQL, with a focus on building scalable, secure, and high-performance data pipelines.

This is a specific use case requiring practical experience in real-time data streaming and Google Cloud data platforms. Candidates must demonstrate relevant hands-on experience rather than general cloud or data engineering knowledge.

Key Responsibilities

Design, develop, and maintain scalable, secure data pipelines from on-premises systems to Google Cloud Platform.
Build real-time streaming and batch data pipelines using GCP Dataflow, Pub/Sub, BigQuery, and Apache Beam.
Develop reusable Python/Apache Beam transformation libraries for Slowly Changing Dimensions (SCD), data quality checks, and masking/tokenization.
Design and develop high-performance Java applications using Java 8+, Spring Framework, and RESTful APIs.
Implement real-time data ingestion and processing using Kafka and Google Cloud Pub/Sub.
Develop and optimize SQL queries and data transformations in BigQuery.
Build and maintain scalable microservices and integrate applications with cloud-based data platforms.
Implement CI/CD pipelines using Jenkins, GitHub Actions, Gradle, and other DevOps tools.
Perform coding, testing, debugging, deployment, and performance optimization.
Document technical designs, data pipelines, and implementation solutions.

Required Qualifications

Hands-on experience with Google Cloud Platform, particularly BigQuery, Dataflow, Pub/Sub, and Cloud Storage.
Strong experience developing real-time streaming data pipelines.
Proficiency in Python and Apache Beam for data processing and transformation.
Strong Java development experience, including Java 8+, multithreading, Spring Framework, and RESTful APIs.
Experience with SQL and data transformation.
Knowledge of microservices architecture and cloud-native applications.
Experience with CI/CD tools such as Jenkins, GitHub Actions, and Gradle.
Experience integrating on-premises data sources with GCP services.

Preferred Qualifications

Experience with Cloud Composer and Cloud Functions.
Exposure to Kafka-based streaming architectures.
Experience implementing SCD patterns, data quality validations, and data masking/tokenization. xhyhwjd
Experience building reusable data processing frameworks and libraries.

Apply

Vacancy posted 1 day ago

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