Job Details
JPC - 839 - Data Quality Engineer
[Princeton, NJ, 0854..,  New Jersey,  United States | Posted - 10/14/2024
Job Description

Job Title: Data Quality Engineer
Location: Princeton, NJ-Onsite
Job Type: W2 Contract

Job Overview:
We are seeking a skilled Data Quality Engineer who will be responsible for ensuring the quality, integrity, and consistency of data across systems by using data quality management tools like Ataccama and Collibra. This role involves collaborating with various stakeholders to define data quality standards, monitor compliance, and implement solutions that maintain high-quality data throughout the organization.

Key Responsibilities:

  • Design and implement data quality frameworks, methodologies, and solutions.
  • Utilize data quality tools such as Ataccama and Collibra for data profiling, validation, and governance.
  • Collaborate with data stewards, business analysts, and IT teams to define data quality metrics and rules.
  • Monitor and report on data quality KPIs, identifying issues and recommending corrective actions.
  • Perform root cause analysis of data quality issues and drive remediation plans.
  • Implement best practices for data cleansing, standardization, and enrichment.
  • Develop and maintain documentation of data quality processes, standards, and procedures.
  • Ensure compliance with data governance policies and industry regulations.

Required Skills and Qualifications:

  • Proven experience as a Data Quality Engineer or similar role.
  • Proficiency in using data quality tools such as Ataccama and Collibra.
  • Strong understanding of data management principles, data governance, and data stewardship.
  • Experience in data profiling, validation, and issue resolution.
  • Familiarity with ETL processes and databases (SQL/NoSQL).
  • Excellent communication skills and ability to work collaboratively with cross-functional teams.
  • Experience in working with large datasets in cloud environments (AWS, Azure, etc.).
  • Knowledge of other data governance and quality tools.
  • Familiarity with scripting languages like Python or SQL for data manipulation.