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Data Engineer

Kforce Technology

This is a Contract position in Arlington, TX posted August 17, 2021.

RESPONSIBILITIES: Kforce has a client in search of a Data Engineer in Armonk, NY.

Summary: The client needs someone that can move data from platform to platform
– Map Team.

They will be transforming a marketing platform to Adobe.

This is the last piece of the transformation, which is marketing automation.

The client needs someone that can manipulate data.

The Data Engineer will move data around.

They transform the data and will be heavy in Spark/Scala.

Responsibilities include: Communicate work to and receive feedback by technical and non-technical audiences Data Engineer will work with business partners to develop strategies and value from our datasets Implement scalable cutting-edge solutions with machine learning and models Data Engineers develop POCs with quick turnaround to suffice the needs of business stakeholders Leverage data management processes, available infrastructures, and API tools to develop codebases and solutions Collaborate with engineers, stakeholders, and other team members to establish an analytics platform or/and standard procedures for use across the business As a Data Engineer, you will be using and improving System to accurately and efficiently identify risk based on multiple data sets and data points (e.g., person, location, activity) Designing, developing, and testing data analysis/collection and visualization applications in programming language(s) of choice Job Requirements: REQUIREMENTS: 5 years of experience as data professional (big data solutions) 5 years of experience in statistical methods (e.g., correlations and regressions, anova, resampling, effect size) Machine-learning Techniques (e.g., clustering, decision trees, nearest-neighbors, support vector classifiers, ensemble methods, collaborative filtering) Algorithm Development in main languages to our business such as Python, Scala, and Spark Demonstrate knowledge of a cross section of tools and techniques relating to support of large-scale data analysis Proven understanding and proficiency of database administration and data structures Preferred Technical and Professional Experience: Significant concentration in a quantitative field Demonstrated skill in AWS, NoSQL Systems, or/and Spark especially Algorithm Development in additional languages (e.g., R, Java, JavaScript, Bash Scripts) Experience with Agile/Scrum methodologies/development
– ability to accurately size user stories Kforce is an Equal Opportunity/Affirmative Action Employer.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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