What are the responsibilities and job description for the Advanced Analytics Data Engineer position at Cognizant?
The Advanced Analytics Data Engineer develops, maintains, tests and evaluates data solutions. Responsibilities include but not limited to:
Data mining proficiency – I think most of the resumes hit the mark here
Data modeling ability – I think this is more of a longer-term need for the organization but would be nice to have someone with that experience and I think generally most of the candidates had some level of that experience
Data visualization experience – some appeared to be stronger than others
Requirements gathering / QC / Business acumen – again some appeared to be stronger than others
- 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.
- MapReduce experience is a plus.
- Experience handling / processing large data sets both structured and unstructured
- Deep knowledge in data mining, information retrieval, and a natural curiosity about the data
- Expertise in data modeling specifically with less standardized / structured data
Data mining proficiency – I think most of the resumes hit the mark here
Data modeling ability – I think this is more of a longer-term need for the organization but would be nice to have someone with that experience and I think generally most of the candidates had some level of that experience
Data visualization experience – some appeared to be stronger than others
Requirements gathering / QC / Business acumen – again some appeared to be stronger than others
- Onsite/ Remote Hybrid (3 days on site Auburn Hills, MI)
