Qa Engineer Job in Systems+

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