Financial Data Engineer

Responsibilities

• Create and manage large, complex data sets that meet business requirements and serve as the foundation behind analytics and management reporting, informing critical decision-making across the Finance Department.
• Partner with non-data users to deliver solutions by becoming an expert on our financial data.
• Create and maintain optimal data pipeline architecture, including optimal extraction, transformation, and loading of data, leveraging Databricks notebooks, Apache Spark (SQL, Python, Scala), and other Microsoft Azure or open-source tools as required, with support of Engineers and Sr. Engineers.
• Maintain high-quality documentation about data structures in the shared data governance tool for the business to access.
• Become an expert on the complete data cycle for finance from ingestion to reporting.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, etc.
• Assist in the creation and development of reports or dashboards by building scalable, high-quality data sets.

Qualifications

• Bachelor’s Degree in Computer Science, Mathematics, Engineering, or similar field OR Equivalent professional experience.
• Experience with the following tools: SQL or relational databases, Python, data pipeline management such as SSIS, Azure Data Factory, or Apache Spark for batch and streaming.
• Experience building and optimizing data pipelines, architectures, and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Quick learner with intellectual curiosity to understand a dynamic and complex business.
• Strong attention to detail and ability to self-review work products are critical.
• Excellent written and verbal communication skills, including the ability to communicate with senior executives.
• Able to handle and prioritize multiple tasks simultaneously and deliver results in a timely manner.