A leading global financial services firm is currently seeking a Data Governance and Data Quality Engineer to join their team in New York. This firm is active in investment banking, wealth management, securities, and investment management services. This firm gives you the opportunity to work next to some of the best professionals in the business with cutting edge technology. The technology team's priorities include cloud computing, big data and analytics, machine learning, artificial intelligence and cybersecurity as well as staying up to date on emerging technologies.
In this firm not only are you learning and working on prestigious projects but you also have the ability to give back to the community. This firm uses their business skills to help nonprofits and they volunteer globally. This is an excellent opportunity for anyone at any level looking to excel their career.
This candidate will will work on implementing DQ rules and on boarding IT systems and regulatory program requirements to its state of the art (constantly evolving) Data Quality and Metadata Management platform. The candidate will be part of the professional services team of Data Quality and Metadata Management product / platform and lead the on-boarding activities of various applications across RISK, Institutional Securities, Finance, Compliance and Operations technology and their business groups that want to start DQ program.
You will primarily be working with Finance business unit and IT department leads across the firm and help create DQ rules for CCAR for the new CFO attestation process. He/She will work with clients to load their data models and relevant metadata into the platform, work withinternal core team of developers to enhance the product / platform, based on the user needs and requirements, and help building DQ rules in SQL against various data sources like DB2, Greenplum, Teradata and Hadoop. He/She will help design the next generation of features required on the platform based on their technical and business knowledge and client interactions.
You should be extremely proficient in data modeling, understanding data models, SQL development across various database technologies, understanding of Finance domain data and client and user communication. Some hands on experience of scripting with Perl or Python, Linux environment and investigating batch processes is expected.