Data Engineer GCP - Multiple Teams

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Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level.

Job Description:

Job Summary
The role involves full systems life cycle management, including analysis, design, coding, testing, and implementation of applications. Responsibilities include contributing to architecture design, technology planning, and integration for Applications Development (AD) projects. The position supports emerging technologies, ensures effective communication, and provides expertise in development, integration, and maintenance.

Key Responsibilities

Data Engineering: Design, implement, and optimize data pipelines using Google Cloud Platform (GCP) services (DataFlow, BigQuery, Cloud Pub/Sub, Cloud Storage), ShellScript, and CI/CD tools like Jenkins.
Collaboration & Documentation: Gather requirements, define scope, and produce technical documentation.
Data Quality & Governance: Implement best practices for data accuracy, consistency, and reliability.
Performance Optimization: Monitor and optimize pipeline and query performance.

Required Skills & Experience

Technical Expertise: Minimum 4.5+ years in GCP, BigQuery, SQL, OpenShift, Python, Power BI.
Strong understanding of data modeling, database design, and ETL processes.
Experience integrating GCP with on-premises systems, other cloud services, and middleware.
Ability to debug and resolve issues effectively.
Excellent problem-solving, analytical, communication, and teamwork skills.

Employee Type:
 

Permanent

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