Data Engineer Financial Operations - Ams

Key Responsibilities

• Develop and maintain data pipelines for financial operations.
• Perform data modeling on SQL-based and big data systems.
• Manage change data capture between disparate data systems.
• Develop complex SQL queries and Python scripts for data transformation.
• Translate raw data into informative visuals using BI tools like Power BI or Tableau.
• Collaborate with stakeholders to understand data requirements and deliver insights.

Requirements

• Proven experience as a Data Engineer, specifically in FinOps.
• Strong proficiency in GCP, BigQuery, and SQL.
• Experience with Python and relevant libraries (e.g., Pandas).
• Solid understanding of data modeling principles.
• Familiarity with BI tools such as Power BI or Tableau.