Job Description

Work Mode: Remote

Employment Type: Part-Time | Freelance | Contract

Experience: 5+ Years

About the Role

We are looking for an experienced Snowflake Data Engineer to build and maintain a scalable, high-quality data foundation for our IFM Assets & Revenue Data initiative. The ideal candidate will have strong hands-on expertise in Snowflake, Python, DB2, and Informatica Data Stager, along with experience in multi-source data ingestion, data modeling, and enterprise data automation.

Key Responsibilities

Design, develop, and maintain scalable data pipelines and data structures in Snowflake.
Perform data modeling, multi-source ingestion, matching logic, and data consistency checks.
Analyze and plan MSAW, IS, and ICS asset and revenue data flows.
Support tranche-based automation initiatives and data operationalization.
Optimize code, conduct end-to-end testing, and schedule production jobs.
Develop and maintain automated data processes using Python and Unix shell scripting.
Work with cross-functional teams to standardize, curate, and improve enterprise asset and revenue data.
Follow established production deployment and change-management processes.

Required Skills & Qualifications

5+ years of experience in data engineering, preferably in a client-facing role.
Strong hands-on experience with Snowflake and data modeling.
Mandatory experience with DB2 and Informatica Data Stager.
Strong Python programming skills.
Proficiency in Unix/Linux shell scripting and process automation.
Experience with multi-source data ingestion, data matching, data validation, and reconciliation.
Strong analytical, troubleshooting, testing, and performance optimization skills.
Ability to collaborate with cross-functional teams and support production data operations.