eTeam

Azure Data Factory

eTeam Austin, TX

  • Looking for hands on Technical Lead in Azure data Factory with at least 6 years of relevant experience.
  • Excellent communication and customer facing skills
  • Experienced in working in onshore/offshore model
  • Experienced in Agile program execution
  • Should be flexible to work in EST timezone

Extract/Source

  • Support the on going source system configuration requirement on ADF to ensure source data can be loaded to the DM environment.
  • Provide technical solutions using ADF that can be utilized to support both technical and manual cleansing requirements on source data as they become known.
  • Become familiar with source systems files structures and data designed to support the transformation process.
  • Additional related technical tasks as required to support the delivery of source data onto the ADF environment for the migration as required Transform:
  • Utilizing project functional requirement documents (FDD’s) and source to target mapping documents develop transformations solutions as required to support migration to Single view
  • Works closely with the Functional DM role to develop and deliver the above.
  • Production of a technical specification documents for each data object / transformed file/table delivered as part of the Shapes DM process.
  • Provide Audit trial reporting on the DM using ADF ETL tool kit.
  • Provide DM error reports to support the remediation of transformation errors identified as part of the Shapes trial migration and project testing milestones.
  • Provide supporting inputs into project documentation like source to target mapping documents.
  • Support the data validation exercise across the project lifecycle milestones.
  • Adhoc data analysis and report generation as required to support the business in any decision making necessary as part of the migration & validation of data to support the Shapes data migration effort.
  • Update build Tracker to support the management of the migration logic.
  • Update of load trackers to support the management and monitoring of the data migration e2e process.
  • Seniority level

    Mid-Senior level
  • Employment type

    Full-time
  • Job function

    Information Technology
  • Industries

    Staffing and Recruiting

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