Senior Data Quality Engineer at Plano, Texas or Richmond, VA [local to TX and VA] at Richmond, Virginia, USA |
Email: [email protected] |
From: Devyani Kumari, Absolute IT [email protected] Reply to: [email protected] Senior Data Quality Engineer/Analyst (DQ Tool DQ Labs) 9-12 month contract with option to convert perm after 12 months US Citizen or Green Card or GC-EAD Open to Hybrid in Plano, Texas or Richmond, VA Candidate must be a local!! Candidate must have an active and an updated LinkedIn ID (REQUIRED!!) Responsibilities: Minimum 5 years of experience as a Data Quality Platform Engineer or similar role (e.g. Senior Technical Data Analyst, DQ Architect). Hands-on experience in SQL required (Snowflake experience highly preferred). Proficiency in configuring business quality rules using automation tools like DQLabs or other DQ solutions. Strong knowledge of the importance of Data Availability and Data Quality in organizational processes. Stay informed with the latest trends in the overall Data Quality landscape. Configure and administer Cloud-based Data Quality platform (DQLabs) for Data Quality. Collaborate with cross functional teams, at various levels, to gather requirements for Data Quality A DQ SME as part of Data &Analytics Tech Center of Excellence to support functional teams in leveraging DQ tool for DQ controls. Implement DQ best practices keeping the organizational needs in mind. Continuous automation and improvement mind-set with ability to think strategic and implement tactical and adapt to changing business requirements. Collaborate with Technical and Functional teams to integrate data quality into data landscape and resolve issues as part of an overall Issue management process. Partner with the Data Governance team in implementation of enterprise DQ rules, roles, permission and support the DQ operating model. Communicate and collaborate effectively with stakeholders and customers with an agile business-driven mindset to build effective partnership across CarMax. Able to multi-task with capability to modify approach based on new information. Quick ability to learn the CarMax business process and the DQ opportunities. Work in an agile environment and be open to change based on changing priorities. Write SQL Queries to perform Data Analysis to support DQ issue Data resolution. Able to use MS Office to document lineage, Business & Technical Data Flows Experience Required: Ability to interface, communicate and present to senior technology and business partners Familiarity with the latest trends in Data Quality, Availability, Observability, and Reliability. Having led Data Quality operationalization including process and roles definition Highly motivated, self-starter, and proven communication skills with the ability to engage effectively with stakeholders and customers. Job Description: We are seeking an experienced, self-driven and motivated Senior Data Quality Engineer/Analyst with a minimum of 5 years of hands-on experience in formulating Data Quality Frameworks, configuring and maintaining Data Quality platforms with solid end-end understanding of all facets of Data Quality, Availability, Observability and Reliability and understand associated concepts of Metadata/Knowledge Management and Data Lineage. Must be a hands-on self-starter with ability to think out-of-the-box to take new information and help formulate solutions appropriate for CarMax as part of an agile team that is looking at redefine and innovate with Data Quality. Familiarity working with functional areas to create Critical Data Elements and associated data quality rules, monitoring, including alerts and Issue Management. Excellent opportunity for a Data innovator who can learn quickly, from a business and technical perspective, think strategically while implementing tactical with an analytic mindset as we are pursuing a differentiated Data Quality strategy. Keywords: information technology green card microsoft Idaho Virginia Senior Data Quality Engineer at Plano, Texas or Richmond, VA [local to TX and VA] [email protected] |
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Mon May 20 18:47:00 UTC 2024 |