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Senior ETL/Data Integration Developer

Job Title
Senior ETL/Data Integration Developer
Job ID
1021392
Location
Scottsdale,  AZ
Other Location
Description

Career Evolutions is looking for a Senior ETL/Data Integration Developer for a fast-growing company headquartered in Scottsdale, AZ. Full-time, direct hire opportunity with compensation up to $125,000.
 
 
Job Summary:
The successful candidate will be able to build high quality and innovative solutions in a fast pace growing Franchise Company.  As a Senior ETL/Data Integration Developer, you will be responsible for designing/architecture and implementing and monitoring highly scalable Data Warehouse/Data Mart solutions.  Maintenance and support for legacy ETL processes
 
Responsibilities:

  • Understand requirements, develop design and technical specification documents and perform impact analysis
  • Perform Unit and Integration Testing
  • Maintain ETL and the supporting data objects for our growing BI infrastructure
  • Schedule and monitor ETL processes
  • Create simple to complex analytical solutions
  • Design and maintain complex data schema projects
  • Identify architectural improvements to enhance ETL performance and workflows
  • Collaborate with BI Developers to build extendable analytical data models
  • Provide ad hoc data requests
  • Troubleshoot production issues and performance tuning of query performance, ETL performance and report performance
  • Work with onsite development teams, as well as, various 3rd party vendors and offsite resources

 
Qualifications:

  • Bachelors of Science degree in Information Technology or equivalent
  • 7-10  years’ experience with Data Integration (SSIS) including change data capture, auditing and logging
  • 7-10  years’ SQL Server database development (T-SQL, stored procedures, Database Object Creation)
  • Experience with Dimensional Modeling (Erwin, ER Studio, …)
  • Experience with Enterprise Data Hub
  • Proven experience in data management, data quality and interpretation across complex data sets (10 terabyte and above with multiple data sources)
  • Experience with SQL Server Clustering solutions
  • Experience with Big Data (Hadoop, Cloud Services

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