Key Responsibilities:

Building and maintaining data pipelines for data integration and processing, ensuring data security and privacy prerequisites are followed. Create, monitor, and maintain data pipeline architecture. Understand business requirement and actively provide inputs from Data perspective. Understand the underlying data and flow of data. Ensure data quality and accuracy through testing and validation Optimize data processing performance through tuning and monitoring. Design and implement optimized data sets. Maintains and enhances systems by fixing complicated errors, raising risks and escalating issues where necessary Designs high-quality solutions in accordance with timelines and specifications to meet user requirements. Ensures all activities adhere to the relevant processes, procedures, standards and technical design. Proactively identifies and leads the implementation of continuous improvement items with the support of the Team Lead and Manager. Adheres to the development coding standards, the operational framework and WTW Excellence guidelines. Works closely with QA, Product/Business Analysts, and other Software Engineering functions to ensure high quality on-time delivery Demonstrate learning adaptability, understanding of the implications of technical issues on business requirements and / or operations. Create reports and visualizations providing insight into data sets. Troubleshoot and resolve data pipeline and reporting performance issues.

Knowledge and Experience:

A Bachelor's/College Degree would be beneficial and extensive experience in a technology related discipline, such as IT or Engineering is required 5-7 years experience as a data engineer. Knowledge in code quality, performance and security Experience on source code control systems  Familiarity on continuous delivery and continuous integration practices Willingness to work in a fast-paced collaborative team environment that has tight deadlines.  Ability to learn and evaluate new tools, concepts, and challenges quickly.  Client service focus and flexibility in supporting client requests.  Strong analytical and problem-solving skills.  Commitment to quality and continuous improvement.  Strong written and verbal communication skills.  Proficient in Azure Data Factory. Experience building and optimising data pipelines, architectures, and data sets Experience with Azure data storage solutions such as Azure SQL Database, Azure Cosmos DB, and Azure Data Lake Storage Basic understanding of data modeling- OLTP vs dimensional modeling is preferred Experience creating reports using Power BI. Experience with relational databases and proficiency using SQL

A Bachelor's/College Degree would be beneficial and extensive experience in a technology related discipline, such as IT or Engineering is required