Data Engineer GCP, BigQuery, Shell Scripting, Jenkins, Terraform,SQL, Python, Power BI

AI in this role

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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

UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.

How we score this

Data Engineer GCP, BigQuery, Shell Scripting, Jenkins, Terraform,SQL, Python, Power BI at UPS scores 31 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.

Classification

AI Level 1. The work itself involves no AI, or AI only appears as scenery, such as a company tagline.

AI Level 480 to 100
AI Level 360 to 79
AI Level 240 to 59
AI Level 10 to 39

Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

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