Strategic Data Quality Professional

3 days ago

Pune, Maharashtra, India beBeeDataQuality Full time ₹ 15,00,000 - ₹ 20,00,000
Job Title: Data Quality Engineer

We are seeking a skilled Data Quality Engineer to join our dynamic team. The ideal candidate will play a critical role in ensuring the accuracy, consistency, and completeness of our data across the enterprise data platform.

As a Data Quality Engineer, you will be responsible for designing, developing, and implementing data quality processes, standards, and best practices across various data sources and systems to identify, resolve data issues.

  • Designing and implementing data quality checks, identifying, and resolving data quality issues, collaborating with data engineers and product teams to improve data pipelines.
  • Collaborating with data engineers, analysts, and business stakeholders to understand data requirements and quality expectations.
  • Analyzing architecture and designs to identify test automation strategies to provide full test coverage for new and/or existing data quality checks.
  • Identifying and articulating gaps in architecture or design which would lead to data quality issues.
  • Validating, automating, and maintaining high-quality data that supports informed decision-making and business operations.
  • Monitoring and analyzing data quality metrics to proactively identify issues and opportunities for improvement.
  • Establishing data quality monitoring processes as part of CI/CD and tools to ensure ongoing compliance with quality standards.
  • Investigating root causes of data quality issues and working with relevant teams to implement corrective actions.
  • Providing technical guidance and support to ensure data quality standards are integrated into all data-related projects and initiatives.
  • Working closely with Data Operations & Support, Monitoring team to capture production data quality exceptions and mitigate business impact/risk.
  • Documenting data quality processes, procedures, and standards for reference and training purposes.
Requirements:
  • Bachelor's degree in Computer Science, Information Systems, or a related field; Master's degree preferred.
  • Proven experience as a Data Quality Engineer or similar role, with a minimum of 10 years in data quality management or data governance.
  • Solid understanding of data management concepts, including data profiling, data cleansing, and data integration.
  • Proficiency in SQL for data querying and manipulation.
  • Developing and executing automated data quality tests using tools like SQL, Python (Pyspark), and data quality frameworks.
  • Experience with working in a cloud environment (AWS, GCP) preferred.
  • Experience with data warehousing solutions (Snowflake, Databricks, Redshift) preferred.
  • Experience with data integration and transformation tools (e.g. Snaplogic, Prophecy, dbt, Talend, etc.) a plus.
  • Experience with data quality monitoring tools (Acceldata, Tricentis) a plus.
  • Working knowledge of DevOps principles and CI/CD pipelines preferred.
  • Strong analytical skills with the ability to identify patterns, trends, and outliers in data.
  • Strong problem-solving skills and attention to detail.
Benefits:
  • Flexible work arrangement with at least half (50%) of time spent in the office or in the field.
  • Opportunity to work with cross-functional teams and contribute to the success of our data-driven initiatives.
  • Competitive compensation package and benefits.
  • Professional development opportunities.
Additional Qualifications:
  • Excellent communication and collaboration skills.
  • Proven ability to prioritize and manage multiple tasks in a fast-paced environment.
  • Certification in relevant technologies or data management disciplines is a plus.
  • Analytical mindset with the ability to think strategically and make data-driven decisions.

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