美国最新DATA岗位职位来袭
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| Data Analytics Intern |
| Job Type: Internship Location: Raleigh, NC |
| Responsibilities • Assist in Day-today operations • Assist in Development and QA of New Product Releases and Enhancements • Provide thoughtful ideas and input on projects in progress Qualifications • Knowledge of the Financial Services industry is preferred• Knowledge of Development processes id preferred • Experience with SQL or .net is preferred • Enrolled in an accredited College/University |
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| Intern – Data Science (Summer 2020) |
| Job Type: Internship Location: Fort Wayne, IN |
| Responsibilities • Determine what data is helpful for estimating the business’ quantities of interest. • Help to design, test, and implement programs. • Participate in gathering, reviewing, analyzing, and evaluating stakeholder needs. • Be expected to function as an extension of the Data Scientists in their experiment design, learning and helping where most needed. • Perform other duties as assigned. Qualifications • Active pursuit of Data Science, Computer Science, Mathematics or related degree with at least two years completed (and one year remaining). • Minimum 3.0 GPA. • Mandatory technical skills: Microsoft Suite with some programming experience. Preferred technical skills: Python, JAVA, SAS, R, C++. • Outstanding interpersonal, oral and written communication skills. • Proven ability to work on a team or operate independently and prioritize job duties. |
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| Data Engineer |
| Job Type: Full-time Location: Washington, DC |
| Responsibilities • Conduct preliminary data evaluation and database structure, optimize and standardize if necessary. • Work with SME and ATF EDW team to build the scripts for the CGI Dashboard view • Importing NESS data into EDW • Creating Reports in PowerBI that are high value for field or executives • NESS data visualized in the CGI Dashboard • NESS Data Validation ‐ with emphasis on data from other ATF databases • Work with NESS Dev team to identify best solutions for incorporating RMS data into NESS • Translate business needs into long‐term architecture solutions • Review, simplify and optimize existing data import process from various sources such as NIBIN, etrace and various RMS imports • Evaluate re usability of current data for additional analyses. • Review object and data models and the metadata repository to structure the data for better management and quicker access Qualifications • Bachelor’s degree in an IT-related field and six years of experience • Proven experience developing Big Data solutions in the Azure space • Extensive experience with the Azure suite (Azure Data Lake, Azure Data Factory, Azure SQL Data Warehouse, Data Lake Analytics, HDInsight, Machine Learning, and Stream Analytics) • SQL Server 2014/2016 experience • Experience using Spark, Hive, Pig, and Scala • Comfortable with Microsoft Full Stack (SSAS/SSIS/SSRS) • In-depth knowledge of Data Warehousing and ETL/ELT • Proven ability to work with clients to understand requirements and to envision solutions • Possess DoD 8570 security certification |
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