Data Engineer

 Design, build, and maintain complex data solutions and ETL pipelines using Python, Spark, SQL, and AWS services (S3, Glue, Redshift, MWAA, EMR, Lambda)

• Develop high-quality data architecture and scalable pipelines to support customer reporting needs, while implementing and supporting analytics infrastructure for internal Finance customers

• Interface with technology teams to extract, transform, and load data from various sources, ensuring data quality and making appropriate trade-offs in design decisions

• Collaborate with business users, developers, and BI Engineers to deliver on data architecture projects and next-generation financial solutions

• Actively participate in code reviews, design discussions, and team planning, while continually improving reporting processes and automating self-service support

• Identify and implement process improvements to drive innovation, scale existing solutions, and create new ones based on stakeholder needs

• Diagnose and resolve operational issues through detailed root cause analysis, maintaining high standards of system availability and reliability