Job Description

Job Title: Senior Data Warehouse ETL Engineer (Should be hands on resource)

Job Location: Remote

Duration: Long Term Contract

Position Overview:

We are seeking a Senior Data Warehouse (DW) and ETL Expert to lead end-to-end data integration, transformation, and analytics initiatives for Aramark. This role requires a deep understanding of complex ETL pipelines, data modeling, and business logic implementation, particularly in large-scale enterprise environments using Oracle Cloud Fusion applications and GCP BigQuery.

The ideal candidate will be a hands-on senior technologist who can independently design, build, and optimize complex data flows - from extraction to analytics - while collaborating closely with both business stakeholders and technical teams.

Key Responsibilities

• Design and implement robust ETL workflows using either of these tools Informatica OR Talend, OR FiveTran or ORBIT .
• Build and manage data integration pipelines pulling from Oracle Cloud Fusion Apps (multiple modules) and Oracle Cloud HCM .
• Develop and optimize data loading processes into Google Cloud BigQuery data warehouses.
• Perform advanced data transformations, rationalization, and cleansing to ensure accuracy and consistency across multiple data domains.
• Implement business logic and rules derived from stakeholder discussions into ETL processes.
• Determine the appropriate approach for data sanitation (real-time pipeline vs. staging area) based on customer use cases.
• Work collaboratively with senior technologists, architects, and business users to translate business needs into technical solutions.
• Operate autonomously in a fast-paced, dynamic environment - capable of "diving into the deep end and swimming on your own."

Required Qualifications

• 10+ years of experience in Data Warehousing, ETL design, and implementation .
• Expert-level proficiency in one or more ETL tools: Informatica , Talend , FiveTran (strong preference for Informatica).
• Proven experience integrating Oracle Cloud Fusion and Oracle Cloud HCM data sources.
• Hands-on experience with Google Cloud Platform (GCP) , particularly BigQuery .
• Strong understanding of data modeling, data transformation logic, and cleansing strategies .
• Ability to translate complex business rules into technical ETL logic .
• Excellent communication skills and the ability to work directly with business users and senior stakeholders.
• Demonstrated ability to work independently and take ownership of large-scale projects.

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