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Data Engineering IT Professional

Job in Raleigh, Wake County, North Carolina, 27601, USA
Listing for: Globalchannelmanagement
Full Time position
Listed on 2026-03-01
Job specializations:
  • IT/Tech
    Data Engineer, Data Warehousing, Database Administrator, Data Analyst
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

About the job Data Engineering IT Professional

Data Engineering IT Professional needs 5 years experience

Data Engineering IT Professional requires:

  • Gitlab version control and CI/CD
  • Expertise in design and development of complex data pipelines
  • Solutions using any industry leading ETL tools such as SAP Business Objects Data Services (BODS), Informatica Cloud Data Integration Services (IICS), IBM Data Stage.
  • Experience of ELT tools such as DBT, Fivetran, and AWS Glue
  • Expert in SQL - development experience in at least one scripting language (Python etc.), adept in tracing and resolving data integrity issues.
  • Strong knowledge of data architecture, data design patterns, modeling, and cloud data solutions (Snowflake, AWS Redshift, Google Big Query).
  • Data Model:
    Expertise in Logical and Physical Data Model using Relational or Dimensional Modeling practices, high volume ETL/ELT processes.
  • Performance tuning of data pipelines and DB Objects to deliver optimal performance.
  • SAS ETL skills for current SAS script maintenance and minor enhancements, but should ready to also use other ETL tools listed below for future state
  • Experience in designing and building Data Warehouse and Data lakes. Good knowledge of data warehouse principles, and concepts.
  • Technical expertise working in large scale Data Warehousing applications and databases such as Oracle, Netezza, Teradata, and SQL Server.
  • Experience with public cloud-based data platforms especially Snowflake and AWS.

Data Engineering IT Professional duties:

  • Design, build, and maintain data pipelines that supports data integrations for Enterprise Data Warehouse, Operational Data Store or Data Marts etc
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Position Requirements
5+ Years work experience
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