Collaborate with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization.
Implement processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
Perform data analysis required to troubleshoot data related issues and assist in the solution of data issues.
Work closely with a team of front end and backend engineers, product managers, and analysts.
Design and develop data transformations using Py Spark on AWS Databricks, enhancing the analytics capabilities for financial datasets.
Create a real-time data ingestion system with AWS Lambda and S3, which facilitated efficient data storage and processing.
Position Requirements: Master's degree or a foreign equivalent degree in computer science, Information Technology, Information Systems, Mechanical Engineering, Computer Applications, Electrical and/or Electronics Engineering, Engineering (any) or related field.