NASAD - Data Engineer

Mitsui & Co. (U.S.A.), Inc. • Nashville, TN

79d

About The Position

The Data Engineer supports the Customer Experience: Data-Driven Management (CX: DDM), Process Design & Development Team by designing, building, and maintaining data pipelines and tables that enable stakeholders to make informed, data-driven decisions. The engineer will focus on developing and optimizing data tables in Snowflake using SAP and other enterprise data sources, as well as enabling analytics through Sigma and other data access tools. The role requires strong collaboration with group companies and internal stakeholders to understand business requirements, gather data needs, and deliver reliable datasets that support enterprise reporting and dashboard development. The Data Engineer will also design, optimize, and maintain data models, ensure the quality and security of data, and support performance, monitoring, and recovery planning in cloud and on-premises environments.

Requirements

• Strong knowledge of data architecture, modeling, and integration practices.
• Familiarity with SAP data structures and enterprise data management.
• Understanding of corporate data governance and reporting practices.
• Advanced proficiency in SQL (Snowflake experience required).
• Experience with Sigma or similar query/reporting platforms.
• Familiarity with Power BI and integration with Snowflake datasets.
• Knowledge of ETL/ELT processes and data pipeline design.
• Experience with Azure PaaS (or similar cloud services) for data solutions.
• Strong communication and interpersonal skills to collaborate with business users across group companies.
• Minimum two (2) years’ experience in data engineering or database development.
• Hands-on experience with Snowflake required.
• Experience integrating and modeling SAP data preferred.
• Experience with Sigma or similar data access tools preferred.
• Experience with cloud data solutions (Azure, AWS, or GCP) preferred.

Responsibilities

• Design, build, and maintain data tables and pipelines in Snowflake.
• Develop logical and physical data models to support analytics and business intelligence use cases.
• Optimize SQL code, queries, and data structures for performance and scalability.
• Extract, transform, and load (ETL/ELT) data from SAP and other enterprise systems into Snowflake.
• Ensure data accuracy, integrity, and consistency across multiple sources.
• Implement best practices for data security, masking, and access controls.
• Support both on-premises solutions and Azure PaaS cloud-based environments.
• Partner with group companies and internal stakeholders to gather requirements and define data needs.
• Translate business requirements into technical data solutions.
• Provide datasets to analysts and business teams for dashboard and reporting development.
• Enable and support reporting in Sigma by providing structured and validated datasets.
• Collaborate with the Data Analyst to ensure Power BI dashboards are built on high-quality, well-structured data sources.
• Implement monitoring, debugging, and performance analysis for data pipelines.
• Plan, design, and implement High Availability and Disaster Recovery (HADR) solutions for Snowflake workloads.
• Document data processes, pipelines, and system dependencies for ongoing maintenance and support.
• Support the establishment of data management standards and best practices.
• Perform other duties as assigned to support the objectives of the CX: DDM, Process Design & Development Team.

What This Job Offers

• Number of Employees: 5,001-10,000 employees