Data Engineer

Data Strategies Architecture and Design:

1. Develop data strategies that will help DWM manage its data and generate useful analytical and managerial reports for various stakeholders across the firm (e.g. Private Credit Risk Management Business Analytics Operations Fund & Portfolio Monitoring Impact Analysis & Reporting)
   
2. Define and implement data architecture strategies to ensure scalability reliability and performance in order to delivery on the data strategies developed in point 1 above.
   

3. Collaborate with DWM stakeholders in Private Credit Risk Management Fund Management Impact Management and Operations to understand data requirements and translate them into effective models and structures.

Data Pipeline Development:

1. Collaborate with thirdparty developers of DWM s ETL (Extract Transform Load) processes and data pipelines.

2. Implement best practices for data ingestion transformation and integration to support analytics and reporting needs across multiple departments at DWM.

Data Quality and Governance:

1. Establish and enforce data quality standards and governance processes to ensure accuracy consistency and reliability of data.

2. Collaborate with relevant DWM stakeholders to address data quality issues and continuously improve data management practices.

Performance Optimization: this is GSquare

1. Monitor and optimize the performance of data systems to ensure efficient processing and timely delivery of data to endusers.

2. Troubleshoot and resolve performance issues.

Technology Stack Management:

1. Stay abreast of emerging technologies and trends in the data engineering space.

2. Evaluate select and recommend (and implement) appropriate tools and technologies to enhance DWM s data engineering ecosystem.

Collaboration and Communication:

1. Work closely with crossfunctional teams including data analysts and business leaders in Private Credit Risk Management Fund Management Impact Management and Operations to understand data requirements and deliver effective solutions.

2. Communicate technical concepts and solutions to nontechnical stakeholders in a clear and understandable manner.