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ETL Data Warehousing Software Development Methodologies Engineer
(Jobs in Seatt
 
Requirement id 91602
Job title Engineer
Job location in Seattle, WA
Skills required Data Quality, Agile Environment, SQL - Microsoft, ETL Data Warehousing Software Developmen
Open Date 25-Apr-2019
Close Date
Job type Contract to Hire
Duration 4 Months
Compensation DOE
Status requirement ---
Job interview type ---
   Email Recruiter: coolsoft
Job Description Engineer: Data Quality, Agile Environment, SQL - Microsoft, ETL Data Warehousing Software Developmen

Job Description :


Data Quality Engineer

5-Month Contract

Starbucks

961297


we are self-motivated data quality engineer to enable Starbucks to leverage data as a strategic asset and drive growth through the responsible management and use of data. You will get the opportunity to practice your craft across all levels of work, honing your technical expertise and serving as a champion for data quality best practices. In this role, you will be our driver of quality:


Overview:

· Implementation commercial off the Ataccama Cots tools that will work, project kicks off May 20th, data analyst background – know data, SQl but migrated to understanding the quality of the data not just moving data.

· Understanding what is wrong, sense of it not being correctly represented.

· Data cleansing data merging.

· Someone sitting inside the tool being able to configure.

· Ideal – someone who is coming from a recent Ataccama deployment or similar tools – information builders,

· Working very closely with data governance space – in the beginning stages of this application.

· Will be interacting with business, engineering and data governance teams. Sit down with them to figure out data and then translate that.

Day-to-Day:

· Proven track record (7+years) of successfully executing data quality activities including data validation, root cause remediation, improvement, governance, and measurement

· Strong skills in SQL, logical/conceptual data modeling and analysis

· Proven experience implementing best practices in data management including: data cleansing, meta-data management, master data management and data quality using enterprise level COTS DQ Tools

· Intimate familiarity with Data Quality Management solutions including SQL, BI Dashboards, ETL, and EDW, and ability to leverage this knowledge to meet business and technical requirements

· Experience implementing and configuring industry-leading Data Management Platforms (e.g. Ataccama, IBI, Informatica) and ability to become expert on new tools and technologies as they come along

· Deliver training and perform knowledge transfer to data stewards and other stakeholders as required

· Participate in analyzing and troubleshooting complex system/user issues to drive resolution and determine root cause

· Interface across all organization levels comfortably with internal business and technical stakeholders

· Regularly lead cross functional teams with data improvement initiatives and issue resolution

· Serve as a subject matter expert on cross functional teams and projects representing data quality methodologies and processes

Requirements:

· Data quality management tool implementation (5 years)

· Data privacy in US and international markets (2 years)

· Data quality experience with an enterprise master data system, system of record, or data warehouse preferably in a complex and diverse systems environment (5 years)

· Experience with data management tools such as Master Data Management, Metadata Management, Data Quality (5 years)

· Working knowledge of structured and unstructured database structures, and SQL and NoSQL databases (5 years)

· Knowledge of data warehousing and business intelligence principles (5 years)

· Knowledge of effective testing and data validation practices and methodologies (5 years)

· Relevant functional/business process experience (5 years)

· Data analysis (5 years)

· Required Kno
 
Call 502-379-4456 Ext 100 for more details. Please provide Requirement id: 91602 while calling.
 
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