Qa Engineer Job in Systems Plus

QA Engineer

Total Experience: 3 6 Years

Taking active role in participating in DW life cycle projects and emphasis on best practices development is a must for this role. You will be taking a lead on design, development, and maintenance of database technologies at the company. Working closely with other database and software developers, you will deliver enterprise data architecture solutions

Mandatory Skills: SSIS, Datawarehouse, architecture, sql server

Responsibilities:

• Experienced and self-motivated Senior MSTR Architect
• Lead the development of the Enterprise Data Strategy and Technical Architecture in support of Data Warehousing and Analytics functions
• Analyze and evaluate current system & data environment providing key recommendations for improvement
• Lead the overall scoping, architecture, design and development of new data initiatives. Govern the use and maintenance of the Analytic Ecosystem architecture principles, patterns and standards
• Provide leadership and guidance to Enterprise wide analytics initiatives and opportunities in regards to the impact on corporate data assets
• Lead the Enterprise Data Architectural function by guiding the design of new projects and participating in the architecture review council
• Lead the evaluation and selection of all key DW and Analytics technology investments including Big Data , Data Visualization, BI Tools and Dashboards, ETL, Core DW Platforms, Advanced Analytics, Open Sources and other evolving technologies based on corporate strategic objectives and key business needs
• Set the strategy and repeatable process for providing analytical data access within the enterprise; assist in rationalizing existing reporting, data usage patterns, tools and processes identifying business improvements and efficiencies
• Identify gaps and opportunities with regard to data governance and data ownership, and provide recommendations for improvements incorporating best practices
• Develop and maintain relationships across IT and across the business with special focus on roles that are heavy consumers of data for analytical purposes; anticipate customer needs and proactively develop solutions
• Provide technical subject matter expertise in defining resource requirements, development standards, and foundational best practices