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Fabergent Inc.

Marketing Systems Developer

Posted 28 Days Ago
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In-Office
San Francisco, CA, USA
Mid level
In-Office
San Francisco, CA, USA
Mid level
Develops marketing data, reporting, and analytics solutions using SQL, SAS, Hadoop, and Linux. Responsibilities include data profiling, process design, dataset and report development, multi-source integration, requirements translation, solution validation, and application management. Collaborates with analytics, product, business analysis, data analysis, and reporting teams using agile practices.
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Company Description

Regardless of the size of your HR staff, it always feels like you’re spending too much time searching for qualified candidates and reviewing resumes. We meet our clients’ IT staffing challenges by leveraging the collective experience and expertise of our recruitment team and consultant base.

Job Description

Our client is seeking a Marketing Systems Developer to enable their online marketing department with data, reporting, and analytics solutions. As a member of the Marketing Systems team, this role works on long-term project deliverables as well as quick wins, using agile practices to allow the business and analytics teams to generate advanced insights. This position supports development and application management efforts within Marketing Analytics solution set that consists of SAS (Linux environment) and Hadoop.

The Marketing Systems Developer will use extensive knowledge of SQL, SAS and Hadoop to conduct data profiling/discovery, process design, build meaningful data sets and reports and integrate with multiple data sources (DB2, Oracle, flat files).

This position is detail-intensive, requiring the accurate capture and translation of data requirements (both tactical and analytical needs) and validation / verification of the working solution. The Marketing Systems Developer works closely with members of Analytics team, Product Managers, Business Analysts, Data Analysts and Report Developers in a highly collaborative environment.

Qualifications

Bachelor's degree in Computer Science / Engineering, Analytics, Statistics or equivalent work experience.

•4+ years of experience with Data Engineering and Analytics.

•4+ years of hands-on experience using SQL and shell scripting.

•2+ years of hands-on experience working in traditional RDBMS such as Oracle, DB2.

•1+ years of hands-on experience working in Hadoop using HIVE, Sqoop and a scripting language such as Python or SAS with BASE SAS, SAS MACRO, and SAS STAT.

•3+ years of hands-on experience developing on a Linux platform.

Additional Information

All your information will be kept confidential according to EEO guidelines.

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