Data QA Engineer (Nj)
Madison-DavisJersey City, NJ
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Overview
Remote
On-site
Job Description
Builds a comprehensive QA framework in Azure DataBricks that gather, store, detect and process large volumes of data for QA analysis and detection of bugs found in ETL code. Responsibilities:
- Develop QA ETL pipelines, ensure data quality, optimize data storage solutions.
- Python, SQL, cloud data tools experience (e.G., AWS Glue, Azure Data Factory, Azure DataBricks).
- Work with the QA analysts to test code and data as part of the SDLC process.
- This role is a necessary component and part of the overall SDLC effort to centralize Information Security data and test the accuracy of storing and transforming the ETL process through the medallion architecture.
- To achieve success, this individual will be required to analyze and develop the ingestion pipeline that will be used to test the data feeds from raw, transformation and to the target process.
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FAQs About Data QA Engineer (Nj) Jobs at Madison-Davis
What is the work location for this position at Madison-Davis?
This job at Madison-Davis is located in Jersey City, NJ, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at Madison-Davis?
Candidates can expect a pay range of $70.
What employment applies to this position at Madison-Davis?
The employer has not provided this information. This may be discussed during the hiring process.
What is the process to apply for this position at Madison-Davis?
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