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Amazon Employee Jobsexternal in Puerto Rico (NOW HIRING)

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Amazon Employee information

What is an Amazon employee?

Amazon employees are individuals who work for Amazon, one of the world’s largest e-commerce and technology companies. They can hold a variety of roles, including positions in fulfillment centers, corporate offices, customer service, technology development, and logistics. Amazon employees help process orders, manage inventory, develop software, support customers, and ensure that products are delivered efficiently. The company offers both full-time and part-time opportunities, along with a range of benefits depending on the role and location.

What skills and qualifications are needed to thrive as an Amazon employee?

To thrive as an Amazon Employee, you generally need strong attention to detail, reliability, and the ability to follow processes, with a high school diploma or equivalent often required. Familiarity with warehouse management systems, handheld scanners, and safety protocols is typically important. Teamwork, time management, and a positive attitude help individuals stand out in this fast-paced environment. These skills and qualities are crucial for maintaining efficiency, accuracy, and a safe work environment in Amazon's high-demand operations.

How do Amazon employees typically collaborate across different departments to ensure smooth operations?

Amazon employees often work in cross-functional teams that include operations, logistics, IT, and customer service personnel. Daily stand-up meetings, digital communication tools, and clearly defined processes help facilitate seamless collaboration. Team members are encouraged to share updates and proactively address issues, which helps maintain efficiency and meet tight deadlines. This collaborative environment not only streamlines workflows but also provides opportunities for employees to learn from colleagues in other departments.

What is the difference between Amazon Employee vs Amazon Warehouse Associate?

AspectAmazon EmployeeAmazon Warehouse Associate
CredentialsHigh school diploma or equivalent; sometimes additional certificationsHigh school diploma or equivalent
Work EnvironmentOffice, fulfillment centers, or corporate settingsWarehouse, distribution centers, physical labor
Employer & Industry UsageAmazon employs both roles across various departmentsPrimarily in fulfillment and warehouse operations
Common Search & ComparisonYesYes

Amazon Employees encompass a broad range of roles, including office staff, managers, and warehouse workers. Amazon Warehouse Associates specifically focus on physical tasks within fulfillment centers. While both roles require similar basic credentials, their work environments and responsibilities differ significantly, with warehouse associates engaged in physical labor and Amazon Employees often involved in administrative, technical, or managerial tasks.

What are popular job titles related to Amazon Employee jobs in Puerto Rico?

For Amazon Employee jobs in Puerto Rico, the most frequently searched job titles are:

What job categories do people searching Amazon Employee jobs in Puerto Rico look for?

The top searched job categories for Amazon Employee jobs in Puerto Rico are:

Amazon Employee jobs near you
Infographic showing various Amazon Employee job openings in Puerto Rico as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 19% Part Time, 3% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Analyst, Information Technology (Data Engineer)

Oriental Bank

San Juan, PR • Hybrid

$112K - $134K/yr

Full-time

Re-posted 23 days ago

Job description

OFG Bancorp is looking for an experienced Mid-Level Data Engineer to design, build, and operate scalable data pipelines and data platforms supporting banking and financial services data domains, including customer, account, transaction, and product data.
This role operates within a regulated financial services environment and partners closely with data architecture, analytics, risk, and technology teams to deliver secure, reliable, and analytics ready data products using Snowflake and AWS. Position works hybrid and reports to San Juan, PR.

MAIN DUTIES & RESPONSIBILITIES:

  • Design, develop, and maintain ELT/ETL pipelines for batch and eventdriven data ingestion using Snowflake and AWS.
  • Engineer and optimize Snowflake data models (tables, views, secure data shares) to support analytics, reporting, and downstream consumption.
  • Develop scalable data processing solutions using SQL and Python.
  • Integrate with AWS services such as S3, Lambda, Glue, and IAM to support data ingestion, processing, and access management.
  • Build and maintain pipelines handling financial transactions and customer data, ensuring accuracy, completeness, and auditability.
  • Apply data quality checks, reconciliation logic, and monitoring appropriate for regulated financial data.
  • Partner with data architects to align pipelines with enterprise data models, standards, and governance expectations.
  • Support production deployments using Gitbased version control, CI/CD pipelines, and infrastructureascode practices.
  • Collaborate in Agile delivery teams, contributing to sprint planning, design reviews, and technical documentation.
  • Other duties may be assigned.

MINIMUM REQUIREMENTS:

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field required.
  • Three (3)+ years of professional experience in Data Engineering or a related role required.
  • Minimum education and experience required can be substituted with the equivalent combination of education, training and experience that provides the required knowledge skills and abilities.
  • Strong handson experience with Snowflake, including data ingestion, transformations, and performance optimization.
  • Experience working within AWS cloud environments, particularly with S3 and serverless services.
  • Advanced SQL skills and experience working with large, complex datasets.
  • Proficiency in Python for data processing and pipeline automation.
  • Experience with modern data engineering tools and frameworks (e.g., dbt, Airflow, Spark/PySpark, or equivalent).
  • Familiarity with Git, CI/CD practices, and production support workflows.

PREFERRED QUALIFICATIONS:

  • Experience working in banking, financial services, fintech, or other regulated industries, as well as financial data domains and data governance concepts.
  • Experience supporting analytics or BI tools (e.g., Tableau, Looker, Amazon QuickSight).
  • Exposure to streaming or nearrealtime data (Kafka, Kinesis, or eventdriven architectures).
  • Certifications in SnowFlake, AWS or others preferred (Databricks and dbt).

WORK AUTHORIZATION & ELEGIBILITY:

  • Legally authorized to work in the US is required. This position is of indefinite duration and requires candidates to have permanent or ongoing work authorization.
  • Employee is responsible for maintaining eligible work authorization throughout his tenure with the organization.

Oriental is an Equal Opportunity Employer (EEO/Affirmative Action for Veterans/Workers with Disabilities)

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