remote
Data Engineer - SRS Acquiom
Data Engineer
Data Engineer building scalable data pipelines and models using Python, SQL, and AWS services to support M&A and loan transaction analytics.
About the role
Key Responsibilities
- Design, develop, and maintain robust ETL pipelines that ingest, transform, and load large volumes of transactional data.
- Implement data models and schemas in relational and cloud data warehouses to enable efficient reporting and analytics.
- Collaborate with data scientists and business analysts to translate business requirements into technical solutions.
- Optimize query performance and ensure data quality through automated testing and monitoring.
- Leverage AWS services (S3, Redshift, Glue, Lambda) to build scalable, cost‑effective data infrastructure.
Requirements
- 3+ years of experience as a Data Engineer or similar role.
- Experience with version control (Git) and CI/CD pipelines for data workflows.
- Excellent problem‑solving skills and ability to work collaboratively in a fast‑paced environment.