Data Engineer – Snowflake & NetSuite

Responsibilities:

All potential candidates should read through the following details of this job with care before making an application.

• Architecture & Engineering: Design, build, and optimize data structures, heavily utilizing advanced Snowflake capabilities to execute complex data transformations and business logic.
• System Integration: Manage NetSuite Data Model changes and seamlessly integrate NetSuite financial data structures into Snowflake environments.
• Data Integrity: Lead data validation and reconciliation efforts across financial reporting systems.
• Troubleshooting: Perform root cause analysis and resolve complex data discrepancies, table relationship issues, and pipeline failures.
• Stakeholder Collaboration: Work independently with business leaders to gather requirements, communicate technical concepts, and deliver precise data solutions.

Required Qualifications:

• 5+ years of professional experience in Data Engineering.
• Advanced Snowflake Expertise: Master-level proficiency in Snowflake architecture, computing, and data management (This is the primary requirement for the role).
• NetSuite Integration: Proven hands-on experience working specifically with NetSuite and Snowflake concurrently, including managing NetSuite Data Model changes and financial reporting systems.
• Data Fundamentals: Strong, foundational understanding of relational databases, data modeling concepts, table relationships, and complex object structures.
• Problem Solving: Demonstrated experience in independent root cause analysis, data validation, and troubleshooting within enterprise environments. xhqgsiq
• Communication: Strong stakeholder management and requirements gathering skills, with the ability to operate independently from discovery to deployment.