Fenergo Business Analyst

EPAM Systems Inc; Canada; On-site; CAD 90,000 - 130,000; Full time

Job summary

EPAM Systems Inc. is seeking data professionals with deep expertise in Fenergo's enterprise data structures to support extraction, mapping, and migration of client and KYC/AML data into a new platform (non-Fenergo).

The role involves analyzing Fenergo schemas, building secure data pipelines, and creating source-to-target mappings, followed by rigorous testing and cutover activities to ensure zero data loss. Prior experience in financial services migrations is essential.

Qualifications

• Strong hands-on experience with Fenergo data models and CLM/KYC domain data.
• SQL, Python, and ETL/data pipeline development skills.
• Experience executing complex enterprise-grade data migrations in financial services.

Responsibilities

• Analyze Fenergo's underlying database schemas, entity models, and document structures.
• Build extraction pipelines and data scripts to securely pull historical and active data.
• Create source-to-target mapping documents and handle data transformation/cleansing.
• Execute test migrations, reconciliations, and final cutover activities with zero data loss.

Skills

Fenergo data models

SQL

Python

ETL/data pipelines

Job description

We are looking for data professionals with deep expertise in Fenergo's enterprise data structures to support the extraction, mapping, and migration of client and KYC/AML data out of Fenergo and into the new platform (non Fenergo).

Responsibilities

• Analyze Fenergo's underlying database schemas, entity models, and document structures
• Build extraction pipelines and data scripts to securely pull historical and active data
• Create source-to-target mapping documents and handle data transformation/cleansing
• Execute test migrations, reconciliations, and final cutover activities with zero data loss

Requirements

• Strong hands-on experience with Fenergo data models and CLM/KYC domain data
• SQL, Python, and ETL/data pipeline development skills
• Experience executing complex enterprise-grade data migrations in financial services