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ETL Lead

Job in Cary, Wake County, North Carolina, 27518, USA
Listing for: TechDigital Group
Full Time position
Listed on 2026-10-23
Job specializations:
  • IT/Tech
    Data Engineering, Database Administrator, Data Warehousing, Data Analyst
Salary/Wage Range or Industry Benchmark: 110000 - 160000 USD Yearly USD 110000.00 160000.00 YEAR
Job Description & How to Apply Below
Job Details (10+ years of experience – Lead(3 years)):
  • Knowledge of Azure Data Factory is a must and good to have knowledge on other tools as well like SSIS, Talend etc.
  • Hands on experience in migration projects on Azure Cloud.
  • Good experience in Python scripting
  • Hands on experience in migration project using Azure Data Factory from SQL Server,DB2 (LUW or Mainframe), Mainframe database( VSAM, Flat files , DB2) to Oracle ( If do not have experience in this , should have exp from any relational source to cloud database using ADF)
  • Experience on validating Data migration
  • Experience in writing Python scripts and Azure Data Bricks .
  • Hands on experience in data extraction ( Full data + Incremental data) strategies from source systems. Source systems like relational database – SQL Server , DB2 , mainframe database – VSAM files / flat files / Sequential files
  • Hands on experience in implementing bi-directional synchronization and what database configurations need to be done in the database to enable bi-directional sync
  • Documents all technical and system specifications documents for all ETL processes and perform unit tests on all processes and prepare required programs and scripts.
  • Design, implement, and continuously expand data pipelines by performing extraction, transformation, and loading activities
  • Gather requirements and business process knowledge in order to transform the data in a way that's geared towards the needs of end users
  • Maintain and improve already existing processes
  • Ensure that the data architecture is scalable and maintainable
  • Work with the business in designing and delivering correct, high quality data
  • Investigate data to identify potential issues within ETL pipelines, notify end-users and propose adequate solutions
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