IQ Workforce is a leading recruiting firm for the global analytics community. We are working with one of the fastest growing consulting companies in the world on this interesting opportunity.

They have an opening for a Data Engineering Consultant who can work with a Fortune 500 technology company to help develop their data quality / data governance program. It is an exciting opportunity to be part of creating the program from the ground up.

The role will be supported by an extensive offshore and onshore delivery team.

Responsibilities

Document, assess, influence and synthesize business requirements to develop, enable and advance data governance and stewardship capabilities

Design future-state concept of operations through development of business process models and data flow diagrams

Work with Business partners to recommend data control placements and control sets.

Research and experiment with emerging Data Quality Profiling technologies and tools associated to data quality, metadata, data governance.

Develop KPIs and dashboards to measure the success of data governance programs.

Contribute to new business pilots/proposals and products/solutions development.

Collect requirements and inputs from client stakeholders to define data governance objectives and processes. Define interdependencies across multiple organizations, understand risks and develop mitigation plans and data models.

Execute processes for monitoring, measuring, and reporting compliance with acceptable levels of data quality (completeness, validity, consistency, timeliness and accuracy)

Identify key data attributes that need to be monitored and establish framework for efficient governance.

Requirements:

Experience in data engineering in a big data environment.

Professional experience in data management, data warehousing, data quality and/or governance

Experience implementing Data Governance programs: heavy emphasis on developing and implementing data standards, policies, practices, and procedures that lead to substantive improvements in data quality.

MS in Information Technology or related discipline or BS with relevant experience

Client-facing experience in managing analytical projects

Experience with Data Governance/Standardization tools (Quality Stage, Informatica IDQ, Trillium).

Hands-on experience in SQL development. Teradata, Aster, Hadoop, UNIX and R/Python experience are a plus.

Experience in using various reporting tools to create analytical dashboards that depict critical KPI’s for business needs.

Excellent communications skills, both written and spoken, as well as being able to present complex technical concepts to a non-technical audience.