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Big Data Developer

Job ID : 38965

Job Title : Big Data Developer

Location : Ohio City, OH

Comapny Name : Soro Technologies

Job Type : Full-Time, Part-Time, Contract, Training

Industry : Information Technology

Salary :  $31000 - $44000  per year

Work Authorization : ["OPT","CPT","Entry Level","F1","H4","L1","H1 Visa","TN Permit Holder","Green Card Holder","Canadian Citizen","All EAD","US Citizen"]

No. of Positions : I have ongoing need to fill this role

Posted on : 03-03-2025

Required Skills : Programming Languages, Problem solving, Machine learning.

Benefits : Medical Insurance, Dental Insurance, Vision Insurance, 401K, Life Insurance

Job Description :

Responsibilities:

  • Formulate and define system scope and objectives as well as prepare detailed specifications.
  • Required to involve and participate in data architecture, data modeling, statistical modeling, regression analysis, and implementation of best practices.
  • Required to collaborate and work with multiple team members between various IT/Business teams and mentor junior team members.
  • Required to prepare functional specifications, technical design, and test plan documentation for all the projects.
  • Involve in building data pipelines, data ingestions, data integrations, data preparations, NLPs, and traditional Data-warehouse/BI systems across multiple projects.
  • Willingness to travel as necessary, work the required schedule, work at the specific location required, complete Penske employment application, submit to a background investigation (to include past employment, education, and criminal history), and drug screening are required

Qualifications:

  • Bachelor's Degree in Computer Science or equivalent experience
  • 5+ years in Data Engineering (BI/DWH/ETL) Development experience, at least 4-5 years with Talend and Big Data.
  • 3 - 5 years of hands-on Data Engineering, Data Visualization, or Data Science projects.
  • 3 - 5 years of experience with distributed database environments and related database concepts

Key Skills:

  • NoSQL.
  • Programming Languages.
  • Problem solving.
  • Machine learning.
  • Data and information visualization.
  • Data mining.
  • Data Security.
  • ETL processes.
  • SQL.

Company Details :

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