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May 15, 2023

ETL Lead (Data Conversion & Migration Experience with experience in Azure Services (Azure Data Factory, Azure Data Bricks, Azure BLOB)) || Remote || HCL

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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