SQL Data Architect

urgently in Montreal. (Quebec, Canada)

20% onsite work.

Ongoing assignment

SQL Developer/Data Architect

Job Description

• Strong experience working with retail Point-of-Sale (POS) Transaction Log (TLOG) files and mapping data to be used by other retail related business applications
  
  

Responsibilities

• Define and document data ETL procedures, standards, and metrics to support customer analytics business rules.
• Establish data quality processes and compliance with data standards for data domains.
• Troubleshoot issues with data quality as identified by stakeholders.
• Perform activities to address data extraction, data validation, data cleansings, data harmonization, business logic, exception handling, and required data indication.
• Design and build a data inventory including field definitions, ontologies, list of values (LOVs), and mappings as requested by the stakeholder and defined by requirements.
• Understand critical data relationships and customer data domains.
• Collaborate with business process owners, data producers, and data consumers to get an understanding of current processes and systems that has a direct impact on the quality of the enterprise data.
• Work with business application engineers to define and maintain a customer data model and Analytics solutions.
  
  

Qualifications

• Bachelor of Science degree and/or relevant work experience
• 7+ years of prior experience as a data analyst or architect
• Strong experience working with retail point-of-sale (POS) transaction log (TLOG) files and mapping data to be used by other retail related business applications
• Data Architect deep understanding of ETL Tools, Best Practice Processes (Enterprise ETL Tools, Self-Service, Data Preparation)
• Data Movement Tools (SSIS, Informatica, Talend, etc.)
• Proficient in SQL (SQL, Stored Procedures, Dynamic SQL, Joins, Aggregation, etc.)
• Experience with Data Structure Solutions (Big Data, RDBMS, NoSQL)
• Experience with a couple of Database Systems (Oracle, SQL Server, My SQL, Postgres, etc.)
• Skilled in one scripting language, such as R, Python, VBScript, Shell Script
• Understanding of Data Governance, Data Integrity, Master Data Management, Data Quality
• Design, Develop, and Deployment Best Practices
• Experience structuring and analyzing large quantities of data and information for statistical and analytical modeling
• Understanding of Business Intelligence Best Practices, Architectures, Tools, Methodologies, and Software
• Good Strong oral, written communication and leadership skills
• Proven ability to partner with client stakeholders from various parts of an organization
• Ability to handle multiple tasks and workstreams in a fast-paced environment
• Experience with SDLC methodologies (Agile and Waterfall Development)
• Experience with Data Modeling