Data Quality Engineer

3 - 5 years

3 - 5 Lacs

Posted:1 day ago| Platform: Foundit logo

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Work Mode

On-site

Job Type

Full Time

Job Description

As a Data Quality Engineer, you will have the chance to tap into your expertise and knowledge to champion data quality by crafting and deploying testing at scale. This role requires a deep understanding of data analysis and engineering, quality assurance methods, and the ability to collaborate with cross-functional teams to identify and resolve data quality issues.

  • Conduct thorough data profiling and analysis to identify anomalies, inconsistencies, and inaccuracies in datasets
  • Automate processes, data quality checks, and workflows to ease data validation processes across complex, interdependent data systems
  • Develop generic quality check frameworks that can be utilized across multiple products
  • Develop and execute comprehensive data quality testing strategies and plans to verify the implementation of data pipelines and data validations.
  • Design and implement intuitive metrics that show stake holders the health of their data in an actionable format
  • Conduct initial root cause analysis for data issues, collaborate with partners to clearly identify the issue, scope and impact, and path for research/solutioning
  • Create and maintain documentation related to data quality processes and standards


Reporting

  • Establish monitoring mechanisms to proactively identify data quality issues, and generate regular reports on data quality metrics for review
  • Collect data quality requirements from key partners, seeking to understand the subjective quality measures that are important to data consumers to build and maintain trust in our data & products


Ideal Candidate Qualifications:

  • 3+ years of experience in the DataQuality/DataModeling/DataEngineering fields
  • Extensive Python or R experience to develop and maintain data quality scripts, tools, and frameworks.
  • Expert-level knowledge of SQL for complex data querying and manipulation
  • Experience with analytical and predictive models
  • Experience with various ETL transformations and workflows
  • Experience working in Hadoop big data environments
  • Strong understanding of data quality concepts, methodologies, and best practices.
  • Strong collaboration skills and ability to work effectively in a cross-functional, interdependent team environment
  • Keen sense of prioritization and ability to time
  • Superior academic record with a degree in a technical field
  • Strong written and verbal English communication skills

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