Identify, create, maintain and support data model/data aggregation model base on business requirements and implement ETL for those models accordingly.

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.

Implementing, establishing standards, and maintaining company data lake (UDP), regional platforms data streaming from Apache Kafka topics.

Develop and maintains scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity.

Collaborate with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility, and fostering data...