Data Engineer--KUMDC5716518

About the Role

The Corporate Workspace Technology team is seeking a Senior Data Engineer to support the modernization of its tooling enablement function. This is a high-impact role focused on designing, modeling, developing, and managing enterprise-grade data warehouse solutions within a Snowflake ecosystem.

You will play a critical role in migrating legacy relational data environments to cloud-based Snowflake architecture, building scalable ETL pipelines, and driving data governance best practices. This role requires strong technical expertise combined with strategic thinking and collaborative execution.

Key Responsibilities

• Design, implement, and manage scalable data solutions within the Snowflake environment.
• Lead migration of existing relational data domains and workflows to Snowflake cloud data store.
• Develop and optimize ETL/ELT pipelines using Talend and Informatica.
• Build efficient SQL queries and Python scripts for large dataset processing and automation.
• Design and implement data ingestion pipelines following industry best practices.
• Develop data distribution layers leveraging Snowflake REST APIs.
• Implement and enforce data integrity, governance, and quality controls.
• Support development of data models and schema design across relational and cloud platforms.
• Optimize Snowflake environments for performance, scalability, and cost efficiency.
• Contribute to proof-of-concepts, documentation, and data governance standards.
• Participate in peer code reviews to ensure high-quality, maintainable solutions.
• Collaborate with cross-functional IT and business stakeholders across regions.
• (Nice to Have) Develop semantic models in Snowflake and integrate with Power BI.
• (Plus) Partner with data scientists to integrate machine learning models into Snowflake.

Required Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, IT, MIS, or related field (Master’s preferred).
• 7–10 years of hands-on experience in data engineering and data modeling.
• Strong experience with Snowflake Data Warehouse (data objects, modeling, performance optimization).
• Proven expertise in Informatica ETL and Talend ETL.
• Hands-on experience with Snowflake REST API integration.
• Advanced SQL query development skills.
• Strong Python scripting experience for automation and large-scale data processing.
• Experience working with relational databases such as DB2.
• Strong understanding of distributed systems and data transformation concepts.
• Solid knowledge of schema design and data modeling in both relational and cloud environments.
• Strong written and verbal communication skills.
• Ability to collaborate effectively across IT and business teams globally.

Nice to Have

• Experience with Power BI or Tableau
• Exposure to data science integration workflows
• Experience building semantic models within Snowflake