Required Skills

aws hadoop Small & Medium Business Teradata hortorn works

Work Authorization

  • US Citizen

  • Green Card


  • H1B Work Permit

Preferred Employment

  • Corp-Corp

Employment Type

education qualification

  • UG :- - Not Required

  • PG :- - Not Required

Other Information

  • No of position :- ( 1 )

  • Post :- 9th Jul 2022


Required Skills and Experience: • Bachelor’s degree in Computer Science, Information Technology or related field desired • Following knowledge and experience as noted o SQL – required o Requirement Gathering - required o AWS / Hadoop / Horton Works – plus o Small & Medium Business (SMB) Data Mart Experience - plus o Teradata – plus o Informatica - plus • Minimum of 5 years relevant work experience • Ability to analyze data and work independently • Good organizational and interpersonal skills with the ability to work with various functional areas, including field, Region, Division and Corporate personnel Responsibilities: • Collaborate across multiple teams to understand business needs, analyze complex data, and integrate Business data with other Enterprise data assets • Become the subject matter expert in the data and be able to articulate how it benefits business stakeholders • Work with business units to document the requirements for enterprise base & semantic layer • Identify and build source to target mapping for Business data attributes. • Work with management team in estimating level of effort and timelines • Need to maintain detailed documentation through data lifecycle processing to ensure fully transparent communication and meeting deadline expectations • Develop the business rules and logic in order to harmonize the data • Own creation of test plans and execution of User Acceptance Testing for stated data dependent projects • Partner with HQ systems engineering and business units to process data in stage, journal, base and semantic within Teradata and AWS / Hadoop / Horton Works • Partner with data architecture and project management teams throughout the project lifecycle • Support standardization efforts for referential data used for data analysis and project output • Provide regular status updates to leadership

Company Information