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Data Migration Consultant Technical Team Lead  / Technical Lead

TechNet Inc.

Data Migration Consultant Technical Team Lead  / Technical Lead

Sacramento, CA
Full Time
Paid
  • Responsibilities

    Job Description

    DATA MIGRATION CONSULTANT TECHNICAL TEAM LEAD  / TECHNICAL LEAD 

    SACRAMENTO, CA / 12+ MONTHS

    MANDATORY QUALIFICATIONS 

    The Technical Team Lead must meet the following mandatory qualifications, skills, and experience: 

    1. A minimum of five (5) years of experience aligning IT systems with organizational business processes. At least three (3) years of that experience must have been in a lead capacity. 
    2. Possession of a Bachelor’s Degree in an IT-related or Engineering field. Additional qualifying experience may be substituted for the required education on a year-for-year basis. 
    3. A minimum of five (5) years of experience on projects performing data migration duties with at least three (3) years of experience performing in a lead role designing solutions for cleansing, transforming and loading records from multiple legacy systems of similar database size and effort like the BE systems. 
    4. A minimum of five (5) years of experience of developing and executing data transformation effort strategies, including establishing rules, dependencies, and acceptance criteria for large scale transformation efforts. 
    5. A minimum of five (5) years of experience with data migration development, testing and execution utilizing Database Management System (DBMS) and ETL tools and technologies for structured and unstructured content. 
    6. A minimum of two (2) years of work experience using hybrid cloud. 
    7. A minimum of three (3) years developing and implementing data strategy for mainframes and MS SQL. 
    8. A minimum of five (5) years of experience in SQL development.

     

    DESIRABLE QUALIFICATIONS:

    The following is/are desirable qualifications, skills and experience may possess: 

    1. Experience with Experian Pandora Data Quality Management Tool. 
    2. Development of data quality goals, metrics and key performance indicators.