Data wrangling Jobs

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Jr Data Engineer

Enhance IT

Charlotte, North Carolina, USA

Contract

What You Bring to the Role Degree in Computer Science, Information Systems, or equivalent quantitative field and 3+ years of experience in a similar Big Data Engineer role, master's degree would be not required but preferred3+ years of experience working in a corporate environment within ITDemonstrated ability to build processes that support data transformation, data structures, metadata, dependent, and workload managementStrong interpersonal skills and ability to project manage and work with cr

Data Engineer (ETL/Data Warehouse/Python)

thestaffinghub

Washington, District of Columbia, USA

Contract

The ideal candidate must have at least 10+ years of industry experience. He or she must be responsible for successful technical delivery of Data Warehousing and Business Intelligence projects.Responsibilities Data extraction, Data cleaning, Data Loading, Statistical Data Analysis, Exploratory Data Analysis, Data Wrangling,Write complex SQL queries and stored procedures to extract, manipulate, and analyze data from relational databasesConduct diagnostic, troubleshooting steps and present conclusi

Big Data Engineer

Enhance IT

New York, New York, USA

Full-time

Big Data Engineer Are you seeking to grow and enhance your technical career to new heights, in a full-time, W-2 opportunity? What if an organization existed solely for the purpose of investing in YOU, being of service to YOU, showing you how, and supporting you every step of the way? Is a customized and personalized approach to your learning journey, career development, and overall ability to maximize your earning potential important to you? Let s make it happen together! What s In It For YOU? F

Workday Consultant

Xoriant Corporation

Sunnyvale, California, USA

Contract

Hi, Job Title:Workday Consultant Duration: 12 Months (Possibility of Extn) Location:Sunnyvale, CA Description: Product Manager for a portfolio of analytic products (reports, dashboards, self-service datasets) aligned to one or more specialized domains within People Analytics support entire product life cycle: design, development, testing, launch and ongoing support. Serve as liaison, as needed, between product end users and other IT Analytics technical functions such as Architecture, Master Dat