Job Description
58.62 per hour
Description:
The Advanced Analytics Data Engineer develops, maintains, tests and evaluates data solutions. Responsibilities include but not limited to:
• Build what the Advanced Analytics Data Architect has designed.
• Work on implementing complex data projects with a focus on collecting, parsing, managing, analyzing and visualizing large sets of data to turn information into insights using multiple platforms.
Requirements:
• Requires a Bachelor's degree in Computer Science, Information Technology, or related field.
• 3+ years of related experience required.
• SQL expertise and data modeling experience.
• Strong experience with Unix/Linux.
• ETL and data movement tools experience including: DataStage, Sqoop, and Pivotal Data Loader.
• Deep knowledge in data mining, machine learning, natural language processing, or information retrieval.
• Experience processing large amounts of structured and unstructured data.
• Knowledge of industry standard BA tools, including Cognos, QlikView, Business Objects, and other tools that could be used for enterprise solutions.
• Able to work in teams and collaborate with others to clarify requirements.
• Ability to tune Hadoop solutions to improve performance and end-user experience.
• Understanding of how algorithms work and have experience building high-performance algorithms.
• Enjoy being challenged and to have a desire to solve complex problems on a daily basis.
• Excellent oral and written communication skills.
Preferred Requirements:
• MapReduce experience is a plus.
Additional Information / Must Have's:
1. Experience handling / processing large data sets both structured and unstructured
2. Deep knowledge in data mining, information retrieval, and a natural curiosity about the data
3. Expertise in data modeling specifically with less standardized / structured data
• How many years of experience are you looking for: Per job description, 3+ years
