Remote Data Quality Analyst Job Openings 2025!!!
McAfee announced job vacancy for the post of Data Quality Analyst. The place of posting will be at Remote (WFH). Candidates who have completed Graduate with Fresher / Experience are eligible to apply. More details about qualifications, job description and roles & responsibilities are as follows
Name of the Company |
McAfee |
Required Qualifications |
Graduate |
Skills |
Data quality analysis or data warehouse or
data cloud environment |
Category |
Information Technology |
Work Type |
Remote |
As
a Data Quality Analyst, of Big Data on Cloud reporting into Data Quality
Manager of Data & Analytics team, the focus of this position is to perform
data quality validations across data aggregation layers by understanding the
business, product, data. And ensure quality of the data elements being used for
further analysis. This is a remote position in India. They will only consider
candidates currently in India and are not offering relocation assistance at
this time.
Θ Positions: Data
Quality Analyst
Θ Job
Location:
Remote (WFH)
Θ Salary: As per
company Norms
Θ Job Type: Full Time
Θ Requisition
ID: JR0031686
Required
Skills & Qualifications:
- 3 to years of experience in data quality analysis or data warehouse or data cloud environment.
- You have experience working on important and main data quality automation tasks and Data Quality Assurance
- You are well versed with Python/SQL.
- You have experience working on data pipelines in a cloud environment – AWS, Databricks. You are passionate about working with data, have some statistical or data analysis background.
- You present the insights and experience from data quality automation projects or compliance projects.
- You are ready to work with global teams.
Responsibilities:
- You will understand the product, business and data processes.
- You will perform data quality analysis, build quality metrics around data pipelines and data in the cloud, present them visually helping bring value to the data analysis.
- You will roll out the guidelines of the governance framework, automate data quality validation rules and bring out anomalies.
- You will report to the Data Quality Manager.
- You will work with global teams from data analytics, analysts, engineering and leadership to ensure metadata management and data governance.
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