FinOps Data Engineer

About The Company
Our client is a global technology company delivering large-scale digital and engineering solutions that support critical industries worldwide. As part of their continued technology transformation, they are expanding their data engineering capabilities to build scalable, cloud-based data platforms and analytics solutions.

Job Responsibilities

• Design, develop, test, deploy, and maintain end-to-end ETL/data pipelines using Talend.
• Build and optimize data models, ETL workflows, SQL queries, and data transformations to support enterprise reporting and analytics.
• Integrate data from cloud and enterprise systems into centralized data warehouse solutions.
• Ensure data quality, automate validation and monitoring, and troubleshoot production data pipeline issues.
• Perform testing, deployment, and continuous enhancements to improve performance, scalability, and reliability.
• Document technical designs, ETL workflows, and data models, including reverse engineering legacy solutions where required.

Key Requirements

• Bachelor's degree in Computer Science, Data Engineering, Information Technology, or a related field.
• Experience with high-volume Data Engineering, ETL Development, or Data Warehousing.
• Strong hands-on experience with Talend across the full ETL development lifecycle.
• Proven experience building ETL pipelines, data warehouses, and dimensional data models (Star Schema).
• Advanced SQL skills with experience optimizing complex queries and large-scale data processing.
• Experience with Google BigQuery and cloud platforms such as GCP, Azure.
• Exposure to reporting technologies such as Power BI; experience with SSAS is an advantage.
• Fluent English communication skills, both written and spoken.

Call To Action
If this opportunity aligns with your experience and aspirations, I'd love to hear from you. Apply now or send your CV to [email protected]