Global Channel Management, Inc.
Data Engineer
Global Channel Management, Inc., Windsor, Connecticut, us, 06006
Global Channel Management is a technology company that specializes in various types of recruiting and staff augmentation. Our account managers and recruiters have over a decade of experience in various verticals. GCM understands the challenges companies face when it comes to the skills and experience needed to fill the void of the day-to-day function. Organizations need to reduce training and labor costs while still requiring the best talent for the job.
Qualifications
Data Engineer needs 5 years of experience.
BS in Mathematics, Economics, Computer Science, Information Management, or Statistics.Expert knowledge in SQL query language is required.Experience with Getting and Cleansing Data (ETL), including SalesForce and Big Data sources, is highly desirable.Experience with IBM's SPSS product is desirable.Working knowledge of Linux-based client-server applications.Aptitude for research, organization, and structuring of complex problems.Strong technical, analytical, and problem-solving skills.Strong technical writing skills and communication skills.Prior experience with metadata management repositories is a plus.Prior experience in the financial services, retirement, or insurance industry is highly desirable.Strong team-oriented interpersonal and communication skills are required.Create best practices and enforce those practices to optimize the Analytics Data Store data loading and consumption.Identify data needs for projects, architect, plan, and execute the extract, transform, and load (ETL) activities, using a combination of 3rd party and open-source technologies.
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Qualifications
Data Engineer needs 5 years of experience.
BS in Mathematics, Economics, Computer Science, Information Management, or Statistics.Expert knowledge in SQL query language is required.Experience with Getting and Cleansing Data (ETL), including SalesForce and Big Data sources, is highly desirable.Experience with IBM's SPSS product is desirable.Working knowledge of Linux-based client-server applications.Aptitude for research, organization, and structuring of complex problems.Strong technical, analytical, and problem-solving skills.Strong technical writing skills and communication skills.Prior experience with metadata management repositories is a plus.Prior experience in the financial services, retirement, or insurance industry is highly desirable.Strong team-oriented interpersonal and communication skills are required.Create best practices and enforce those practices to optimize the Analytics Data Store data loading and consumption.Identify data needs for projects, architect, plan, and execute the extract, transform, and load (ETL) activities, using a combination of 3rd party and open-source technologies.
#J-18808-Ljbffr