Overview
Skills
Job Details
About this Position:
Job Title: Lead Data Warehouse Developer
Duties include:
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Acquiring data from various sources including cloud services and utilizing Secure FTP and other transfer protocols.
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Maintaining and developing PL/SQL for several data analytics initiatives currently in production.
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Serving as a database architect to review current data analytics infrastructure and making recommendations on how to structure going forward.
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Providing technical support for interfacing between the backend data and the front end tools such as Tableau.
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Leveraging existing in-house technology to support ETL such as Attunity Compose.
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Reviewing current architecture and systems with the goal of integrating the data analytics environment with enterprise standards and best practices.
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Parsing XML files into meaningful datasets that can be consumed by analysts.
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Creating documentation for current environment and any changes going forward.
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Offering guidance when reviewing user stories as to the best mechanism/platform to use that will meet user needs.
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Creating or assisting with the creation of dashboards and visualizations in Tableau or similar data visualization products.
Minimum Qualifications:
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Availability to begin work on the Anticipated Commencement of Work Date stated and for a minimum of six months.
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At least five years' experience troubleshooting complex technical problems involving networking, database, application, and associated servers.
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At least three years' experience modeling data for reporting and analytics.
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At least five years' experience in tuning SQL for performance.
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At least three years' experience providing technical guidance to a team of software developers to implement solutions to multiple concurrent complex technical problems.
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At least three years' experience providing technical guidance to a team of software developers regarding all aspects of performance tuning an enterprise data warehouse reporting and analytics system.
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At least five years' experience performing Oracle database development using SQL and PL/SQL.