Data Engineer – Data Quality & Governance, New Grad

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Job Summary:

Goldman Sachs is a multinational financial services firm providing securities, investment banking, and management services. The Data Engineering role focuses on enhancing data quality and governance across the firm, working with various stakeholders to implement policies, improve data accessibility, and promote a robust data governance framework.

Responsibilities:

• Help promote the data governance framework and drive adoption across all of the firm's divisions

• Partner with Divisional Data Offices to help them implement the policies and procedures for Data Governance

• Participate in working groups to improve data quality and ease of access to information

• Provide guidance and training on how to plan implementation of requirements set forth by the policy

• Work with the technical team responsible for developing the data governance platform and tool set

• Be instrumental in monitoring the compliance and progress of each division, and working to make sure the data governance program goals are accomplished

• Provide thought leadership to further develop processes, and firmwide roles and responsibilities, to help the firm meet the expectations of its data governance policy

• Work with data consumers and producers to negotiate ownership of data

• Create lineage graphs to show how data moves from top of the flow (e.g. trading, sales and deal systems) to lower down the flow (e.g. client reporting, regulatory reporting, books and records)

• Help identify and execute data quality improvements in line with the data governance framework

• Develop communication and reference materials that enable data consumers and producers to implement the data governance policy and standard

• Define and create appropriate data validation controls

• Provide data quality analytics to partner with data consumers and producers to drive remediation effort

• Partner with users and provide feedback on the strategic tooling to engineering teams for business use cases

• Communicate progress to senior stakeholders and within the team

Qualifications:

Required:

• Bachelor’s degree required

• Exposure to or knowledge of data warehousing, and the development of physical and logical models

• Experience working with stakeholders on projects to develop strategies and solutions, ideally related to data.

• Experience working with a business team to develop functional requirements and translating those into technical requirements is important.

• Ability to work in a collaborative manner with stakeholders and drive consensus is essential.

• Proficient with spreadsheet/presentation/dashboard tools and ability to learn quickly and adapt to new changes and new challenges

• Effectively partner with divisions across the firm with a focus on end-client value

• Proactive and works well in a collaborative environment

• Strong written and verbal communication skills

• Good attention to detail and analytical thinking

Preferred:

• Helpful to have sufficient SQL knowledge to be able to run queries and participate in data analysis

• May have a software engineering background (not required)

• Experience of data governance or data management

Company:

Goldman Sachs is a multinational financial services firm providing securities, investment banking, and management services. Founded in 1869, the company is headquartered in New York, New York, USA, with a team of 10001 employees. The company is currently Public Company. Goldman Sachs has a track record of offering H1B sponsorships.