Data Engineer (Data Warehouse) - Monee Credit

• As a Data Warehouse & Automation Engineer, you will sit at the intersection of data warehouse engineering, automated workflows, and regulatory compliance.
• You will own the design, build, and maintenance of robust Data Warehouse & Data Mart tables, while building automated data pipelines and Reverse ETL workflows to stream critical data back into operational tools and regulatory reporting bodies.
• Collaborate with BI, Regulatory Compliance, and Project teams to translate business and compliance requirements into Data Mart & Business Automation solutions.
• Implement data validation, error handling, and automated data quality checks to ensure accuracy, consistency, and reliability across all warehouse layers.
• Apply software engineering best practices to analytics codebases, optimize database queries, partitioning, and storage to handle growing data volumes efficiently.
• Build and maintain secure, automated data pipelines to format, validate, and push compliance data directly to regulatory portals.

Requirements

• Bachelor’s degree in Computer Science, Data Analytics or related field with +2 years of professional experience in a Data Warehouse Engineering or related roles
• Advanced SQL skills with focus on query performance tuning and best practices.
• Proficiency in designing robust data warehouse architectures that support high-volume analytics and business reporting.
• Working knowledge of Python focused on scripting, operational automation, and reverse-ETL.
• Proficiency in Apache Spark (PySpark/Spark SQL) for large-scale data engineering.
• Experience with analytics engineering concepts and tools (dbt, Dataform, or equivalent tool) is a plus.
• Good communication skills in English is a must, with the ability to explain insights clearly to non-technical stakeholders.