Data Quality Engineer

2 - 6 years

2 - 6 Lacs

Posted:2 days ago| Platform: Foundit logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Job Summary

  • We are seeking a skilled and experienced Data Quality Engineer with a strong background in data engineering, data quality engineering, and expertise in cloud technologies in Azure, GCP or AWS
  • The ideal candidate will also have exposure to artificial intelligence (AI) concepts and tools

Position: Data Quality Engineer

Responsibilities:

  • As a Data Quality Engineer, you will play a crucial role in ensuring the integrity, accuracy, and reliability of our organizations data assets. Your responsibilities will include designing and implementing data quality processes, collaborating with cross-functional teams, and leveraging cloud platforms to optimize data quality and integration.
  • Collaborate with data owners and stakeholders to define and enforce data quality standards.
  • Develop and implement data cleansing strategies to address identified data quality issues.
  • Utilize data profiling tools and techniques to analyze data patterns and identify potential quality issues.
  • Work on optimizing data architectures for improved data quality and performance.
  • Utilize cloud platforms like Azure, AWS or GCP to deploy and manage data quality solutions.
  • Leverage cloud services for scalable storage, processing, and analysis of large datasets.
  • Document data quality issues, root causes, and remediation steps.
  • Generate regular reports on data quality metrics and communicate findings to relevant stakeholders.
  • Work closely with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data quality requirements and implement effective solutions.

Qualifications:

  • Bachelors or Masters degree in Computer Science, Data Science, or a related field.
  • Proven experience as a Data Quality Engineer or in a similar role.
  • Strong knowledge of data engineering principles and best practices.
  • Hands-on experience with cloud platforms, especially Azure.
  • Familiarity with AI concepts and tools is preferred.
  • Proficiency in programming languages such as Python, SQL, or Java.
  • Excellent problem-solving and analytical skills.
  • Strong communication and collaboration skill.

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