Senior Data Engineer
CurrentBuilding and Optimizing Data Pipelines: Design and implement scalable ETL processes to extract, transform, and load data from various sources into the bank’s data warehouse, ensuring accuracy and efficiency.Data Warehousing: Develop and maintain secure, high-performance data warehousing solutions (e.g Redshift) that meet the organization’s analytics needs.Data Integration and Management: Integrate data from multiple sources, ensuring consistency, quality, and accessibility for data… Show more Building and Optimizing Data Pipelines: Design and implement scalable ETL processes to extract, transform, and load data from various sources into the bank’s data warehouse, ensuring accuracy and efficiency.Data Warehousing: Develop and maintain secure, high-performance data warehousing solutions (e.g Redshift) that meet the organization’s analytics needs.Data Integration and Management: Integrate data from multiple sources, ensuring consistency, quality, and accessibility for data analysts, scientists, and other stakeholders.Cross-Functional Collaboration: Work closely with data analysts, data scientists, and business teams to deliver actionable insights and support data-driven projects.Performance Optimization: Conduct performance tuning for data pipelines and troubleshoot issues to ensure continuous data flow.Data Governance and Compliance: Implement data governance policies, supporting the bank’s adherence to regulatory standards and data privacy laws. Show less