Data Engineer - Compliance Monitoring

***We are unable to sponsor as this is a permanent full-time role***

***Hybrid, 3 days onsite, 2 days remote***

A prestigious company is looking for a Data Engineer Compliance Monitoring. This role will be acting as a data engineer within the compliance monitoring team. They will work 60% of the time on data engineering, ETL, data pipelines, SQL querying, and cleansing the data. The other 40% of the time they will be doing data virtualization.

Responsibilities:

• Design, build, and maintain automated workflows that enable data extraction, processing, and conversion to standardized data models.
• Develop and maintain data pipelines that ensure end-to-end process automation related to different aspects of the Compliance program.
• Create and maintain department dashboards and other monitoring solutions.
• Implement automated and sustainable reporting for a variety of audiences including management, the Chief Compliance Officer, the Board of Directors, and regulators.
• Support analytics framework by following best practices in code review, testing, documentation and technical writing.
• Optimize existing technologies and data sets and develop new solutions to drive analyses and inform decision-making for Compliance.
• Analyze overall analytics processes strategically and provide comprehensive solutions on a design architecture level.

Qualifications:

• Bachelor s Degree in Computer Science, Information Systems, Mathematics, Finance, or related discipline required.
• 3-5 years of software development/data analytics/quantitative analysis roles required.
• Strong programming skills oriented towards data analytics involving data extraction, manipulation, processing and analysis. Object Oriented Programming skills is a plus.
• Advanced SQL skills and experience writing efficient complex queries for data extraction. Database development and management is a plus.
• Working knowledge of API protocols and extracting data from REST APIs and source systems.
• Experience working with, cleaning and analyzing large and complex data sets and structures to derive meaningful results.
• Experience building dashboards and reports in Tableau, or similar monitoring tool.
• Strong understanding of CI/CD, DevOps principles in a data context.
• Proficient programming skills in either Python (Pandas/Numpy), Matlab or R. Object Oriented programming skills (C++/Java), preferred.
• SQL programming on relational databases. Splunk is a plus.
• Tableau or Python/R data visualization libraries. Curator is a plus.
• Experience working on workflow and orchestration tools like Alteryx, Airflow, Power BI or scheduling automated jobs in Windows or Unix environment.
• Experience with cloud data services (AWS, Azure or similar platforms.)
• Building end-to-end data pipelines and using best practices in development and testing.