remoteonsite
Senior Associate, Finance Transformation Data Engineer - Alvarez & Marsal
Data Engineer
Lead finance data engineering initiatives, building scalable ETL pipelines on AWS, optimizing SQL queries, and leveraging Spark for large‑scale analytics to transform financial reporting and insights.
About the role
Key Responsibilities
- Design, develop, and maintain robust ETL pipelines for finance data using Python, SQL, and Spark on AWS.
- Collaborate with finance and analytics teams to understand data requirements and deliver actionable insights.
- Optimize data models and queries for performance and scalability across large datasets.
- Implement data quality checks, monitoring, and automated alerting to ensure data integrity.
- Document architecture, processes, and best practices for future maintenance and knowledge transfer.
Requirements
- 5+ years of experience in data engineering, preferably in finance or consulting environments.
- Proficiency in Python, SQL, and Spark for data processing.
- Hands‑on experience with AWS services such as S3, Redshift, Glue, and Lambda.
- Strong understanding of ETL concepts, data modeling, and data warehousing.
- Excellent problem‑solving skills and ability to work collaboratively in a fast‑paced setting.