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Maganti IT Resources LLC

5 Meadow Street
Naugatuck, CT, United States

Phone: 2035670129
Web Site: www.mitresource.com

Company Profile

Data Engineer


Job ID:



Boston, MA, United States 




$120,000.00 per year

Job Views:


Zip Code:


Employment Type:

Full time, Part time



Job Description:

Please help pass along to colleagues or associates below position who are looking for new role if you are not available.
Should someone need more information I can be reached at  naveen@mitresource.com and Ph : 203-567-0129
Title       Customer Facing Data Engineer
Position Type    Permanent
Location               Boston, MA, United States
Job Description               
As a Customer Facing Data and System Integration Engineer you will be expected to work with current and future customers and the Sales team members in helping clients in data preparation tasks (such as data acquisition, integration and transformation) and system integration. You will be comfortable leading technical work that will produce the data input of the platform and demonstrating the product. You will assist the Sales team members with developing the technical presentations, definition of technical requirements, and preparation of technical proposals.
Nice To Have Skills/Experience
Experience working in an agile sales environment
Experience with NoSQL databases
Familiarity with cloud computing platforms
Familiarity with Hadoop and related Big Data technologies
Must Haves
2+ years of real world business experience
Hands on real world experience with enterprise data warehousing / ETL
Strong customer interaction skills
Must possess excellent organizational, communication, writing and interpersonal skills
High technical proficiency in one or more ETL tool suites such as SAS, Pentaho, Talend or similar platforms
Fluency with SQL on one or more of the following databases - Oracle, SQL Server, MySQL, Postgres
Knowledge about predictive analytics Fluency with scripting (Python, Javascript, Bash)
Experience working with enterprise IT development/data warehousing team Hands on experience implementing predictive models in enterprise environment

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