SAP ETL Data Engineer - Informatica Power Center

Farmers Group Inc.; México; Remote; MXN 1,477,000 - 2,216,000; Full time

Benefits offered by this job

Competitive pay

Bonuses

Training and development

Job summary

Farmers Insurance seeks an SAP Data Specialist to bridge raw data and business operations. You will manage, extract, and interpret data within SAP environments to optimize performance and support executive decision‑making.

You will work with cross‑functional teams to ensure data integrity, support BI initiatives, and enable timely reporting for finance and operations. This role requires strong SQL, data integration, and problem‑solving skills.

Qualifications

• 5+ years of ETL experience in an SAP environment.
• Proficient with Informatica Power Center for Data Integration.
• Experience with DB2 and SAP (S/4) Finance data interfaces.
• Strong SQL skills and data quality mindset.
• Excellent problem solving and stakeholder communication.
• Experience supporting Finance data environments.

Responsibilities

• Provide expertise in design and functionality of business applications.
• Align IT solutions with business objectives and requirements.
• Review and validate technical designs from suppliers.
• Perform quality reviews on project deliverables and data fixes.
• Support implementation activities and training as needed.
• Maintain and audit master data across enterprise systems.
• Investigate data anomalies and ensure data integrity.

Skills

ETL SAP

Informatica Power Center

DB2

SQL

Stakeholder communication

Project management

Finance data

Education

Bachelor's degree preferred

Tools

Snowflake integration

AWS Glue

Job description

Farmers Insurance seeks an SAP Data Specialist to bridge raw data and business operations. You will manage, extract, and interpret data within SAP environments to optimize performance and support executive decision‑making.

You will work with cross‑functional teams to ensure data integrity, support BI initiatives, and enable timely reporting for finance and operations. This role requires strong SQL, data integration, and problem‑solving skills.