Senior Data Engineer - Finance

Nvidia • Santa Clara, CA

386d

About The Position

The Finance Data Engineer will play a critical role in the Finance team, responsible for designing and implementing robust data infrastructure that supports financial analytics and decision-making across the organization. This position requires a blend of technical expertise in data engineering, strong analytical skills, and the ability to collaborate effectively with various teams to optimize financial data management processes.

Requirements

• 5+ years of experience in data engineering, focusing on financial data modeling, ETL processes, and database management.
• Proficiency in SQL, Python, and cloud-based data platforms (e.g., AWS, Azure, GCP).
• Bachelor's degree or equivalent experience in Computer Science, Data Engineering, Information Systems, or a related field.
• Demonstrated success in designing and implementing scalable data solutions for financial reporting and analytics.
• Experience in optimizing data infrastructure for performance, scalability, and reliability.
• Deep understanding of data governance principles and experience implementing data quality measures.

Nice To Haves

• Experience with data lakehouse platforms such as Databricks and Snowflake in financial contexts.
• Knowledge or experience in integrating financial systems such as SAP FICO, SAP RAR, SAP BW, SAP SD, SAP IBP, or Anaplan.

Responsibilities

• Design and implement data pipelines and ETL processes to integrate financial data from various sources.
• Act as a data architect, guiding users to understand and apply the single source of truth.
• Support and administer data pipelines to maintain a single source of truth data repository for financial analytics.
• Architect and administrate the data warehouse for reporting, business intelligence, data analysis, and data science.
• Develop and implement advanced data processing solutions using Python, SQL, and other relevant technologies.
• Implement and maintain data governance policies and procedures to ensure data integrity and compliance.
• Collaborate with multi-functional teams to identify opportunities for process optimization and cost reduction.

Benefits

• Equity options
• Comprehensive health benefits
• Diversity and inclusion programs
• Flexible work arrangements

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Computer and Electronic Product Manufacturing
• Education Level: Bachelor's degree