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Urgent role for Data De-Identification Engineer || Remote at Remote, Remote, USA
Email: [email protected]
From:

Hemant Kumar,

Vbeyond

[email protected]

Reply to:   [email protected]

Hi,

I have job opportunity for you, if you are looking for new job, please email me your updated resume at your earliest convenience or you call me on +1 (908) 900-4903

Job- Data De-Identification Engineer

Location- Remote

Duration- 3-4 week

Perform Data Profiling and data analysis for identifying PHI/PII fields across the databases

Extensive Design, development, Validation experience of Data De-Identification on Structured/Semi-Structured source data

Experience of End-to-End data De-Identification platform implementation on On-Prem or Azure platform

Perform Data Profiling and data analysis for identifying PHI/PII fields across the databases

Identify and analyze data patterns on data coming from multiple data sources

Experience and expertise on Design Document build and Architecture diagram build for Data De-Id

Experience and expertise in designing and implementing Data De-Id process with multiple Techniques like Safe Harbour, Expert Determination, Aspects like Data Anonymization, Tokenization methods etc.

Understand business processes and how they are modelled in various systems

Prior experience on the Data De-Identification strategy design and Implementation

Prior experience on working with at least 2 data de-identification tools

Work with Data Engineering Lead, technology teams to understand requirements to design, develop, test data pipelines/jobs/processes

Prepare presentation decks and lead the client discussions for various possible approaches along with Pros and Cons

Create and Maintain specifications and process documentation of the Data De-Id mechanism

Develop, validate and maintain Data De-Identification jobs/processes

Identify ways to improve data reliability, efficiency and quality

Experience of performing Data De-identification using various Techniques and methods

Ensure Data Security and Compliance policies are understood and implemented in the process

Experience of working on On-Prem databases like MS SQL server and Cloud platforms like Azure cloud

Sound understanding of Azure based ADLS Gen2 data lake

Strong experience in data curation/aggregation/preparation using Azure Data lake, Azure Data Factory and distilling data into meaningful insights with hands-on expertise on Azure and Snowflake/Databricks.

Strong experience in Azure based EDW projects

Experience with Agile development methodologies

Good Verbal and Written communication skills

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Sun Dec 11 17:36:00 UTC 2022

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