Senior Executive, Data Engineer

The role of senior executive requires he/she to work with the data architects, business analysts and other stakeholders to identify data requirements and develop solutions that meet their needs. The ideal candidate will have strong skills in ETL processes and data pipeline management & data integration. He/She will work closely with cross-functional teams to develop and maintain a scalable and high-performance data architecture that supports the needs of our business. Responsibilities of the Role • Developing and maintaining ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes to transform data from its source into a format suitable for analysis. • Create and maintain automated & optimal data pipeline architecture • Integrating and consolidating data from various sources such as Teradata, Oracle, Hadoop… etc. • Developing and implementing a scalable data architecture that supports data integration, transformation, and analysis across the bank's various data sources. • Ensuring the quality and accuracy of the data through data validation, cleansing, and data profiling. • Write medium to complex SQL queries, Stored Procedures etc • Assemble large, complex data sets that meet functional / non-functional business requirements. • Optimize data integration processes for performance and reliability. • Troubleshoot and resolve data integration issues. • Design and maintain data pipelines that support real-time data ingestion and processing.