Hi All,
Need coverage on below role.
Make sure to follow highlighted skills.
MINIMUM EXPERIENCE- 9+ YEARS
Position Details – ETL Lead | |
Job Location/Client Location (with City & State) | Montgomery, Alabama |
Remote ok(Y/N) | Y |
Project Duration | 12 Months |
Project Start date | 2-Jan-2023 |
Job Title/Role | ETL Lead |
Mandatory Skills | Data Conversion & Migration Experience with experience in Azure Services (Azure Data Factory, Azure Data Bricks, Azure BLOB) |
End-Client Interview Needed for Selection (yes / No) | No |
1. Knowledge of Azure Data Factory is a must and good to have knowledge on other tools as well like SSIS , Talend etc. 2. Hands on experience in migration projects on Azure Cloud. 3. Should be able to evaluate and provide the best ETL tool as per data migration requirement 4. 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) 5. experience on validating Data migration 6. Experience in writing Python scripts and Azure Data Bricks . 7. 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 8. Hands on experience in implementing bi-directional synchronization and what database configurations need to be done in the database to enable bi-directional sync 9. Documents all technical and system specifications documents for all ETL processes and perform unit tests on all processes and prepare required programs and scripts. 10. Design, implement, and continuously expand data pipelines by performing extraction, transformation, and loading activities 11. Gather requirements and business process knowledge in order to transform the data in a way that’s geared towards the needs of end users 12. Maintain and improve already existing processes 13. Ensure that the data architecture is scalable and maintainable 14. Work with the business in designing and delivering correct, high-quality data 15. Investigate data to identify potential issues within ETL pipelines, notify end-users and propose adequate solutions |
Thanks and Regards,
ABHAY SINGH
(TECHNICAL RECRUITER)
E-mail- abhay@intellectt.com
DIRECT- +1-7323557412 EXT- 397
Company ID- www.intellectt.com
LinkedIn- https://www.linkedin.com/in/abhaysingh-chauhan/
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