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Advanced Analytics Data Engineer

Tata Technologies • Full-time • Auburn Hills, MI, US • 2w ago

The Advanced Analytics Data Engineer develops, maintains, tests and evaluates data solutions.

Responsibilities:

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.

Qualifications:

• 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 daily.

• 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

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