Role: Sr. Data Engineer/Architect
Location: Philadelphia, PA
Long Term Contract
Looking for 9+ Years experience candidates
Job Description:
- Generate Tableau/PowerBI Dashboard with quick/context/global filters, parameters and calculated fields on Tableau (7.x) reports.
- Create Tableau/PowerBI Dashboards with interactive views, trends and drill downs along with user level security.
- Access and transform massive datasets through filtering, grouping, aggregation, and statistical calculation
- Lead high profile projects with the design and identification of appropriate data sources to optimize dashboard development. Design, develop, and test Tableau scripts to import data from source systems and test Tableau dashboards to meet customer requirements. Monitors performance of reports and dashboards and takes corrective action to optimize and improve dashboard performance as necessary. Participates in the application validation and QA efforts as they pertain to reporting, data, dashboard creation and execution. Develop best practices, documentation standards, processes and procedures for Tableau Dashboard design and publishing.
- Work with BI Team and others within the organization as a Subject Matter Expert to help troubleshoot issues with Tableau dashboards, assist with design and data development issues. Works closely and collaboratively with end users, BI team, EDWH team, other analysts and stakeholders to ensure best practices are being used, proper training is being offered and issues and questions are being answered promptly.
- Maintain and support Tableau data analytics platforms
- Conduct unit testing and troubleshooting
- Evaluate and migrate existing BI systems into Tableau applications
- Develop and execute database queries and conduct analyses
- Develop and update technical documentation and work in partnership with the business analysts.
Three to five years of experience in business intelligence development using Tableau or PowerBI. 3-5 years of experience understanding of database management systems, HADOOP and Big Data environments, Familiarity with BI technologies (e.g. Online Analytical Processing, Extract Transform Load, Microsoft Power BI, Oracle BI