Data Quality Engineer

Job Overview:

The Data Quality Engineer will be responsible for ensuring the accuracy, consistency, and reliability of the data across various databases and data systems within the organization. This role involves creating and implementing data quality processes, identifying data quality issues, and working with cross-functional teams to resolve them. The ideal candidate will have a strong background in data analysis, data governance, and database management, with a keen eye for detail and a commitment to maintaining high data standards.

What We Can Offer:

• Competitive Salary
  
• 20 Paid Time Off with 5 convertibles to cash at the end of the year
• HMO (with 2 dependents - co paid)
• Group Life and Accident Insurance
• Other exciting monetary allowances
• Great team, culture, and environment and tons of opportunity for career growth

Work Schedule: Night

Work Type: Hybrid

Position To Fill: One

What You'll Do:

Data Quality Management:

• Develop, implement, and maintain data quality standards, guidelines, and best practices.
• Monitor data quality across multiple systems and databases.
• Identify and resolve data quality issues, including data integrity, accuracy, completeness, and consistency problems.

Data Validation and Cleansing:

• Design and implement data validation processes to ensure the integrity of incoming and existing data.
• Perform data cleansing activities, including de-duplication, normalization, and standardization.

Collaboration and Communication:

• Work closely with data engineers, data scientists, analysts, and other stakeholders to understand data requirements and ensure data quality.
• Communicate data quality metrics, findings, and improvement recommendations to relevant teams.
• Assist in the design and implementation of data quality dashboards and reports.

Automation and Tools:

• Develop and maintain automated data quality checks using tools and scripting languages.
• Evaluate and recommend data quality tools and software that can enhance the organization’s data quality processes.

Data Governance:

• Participate in the organization’s data governance initiatives, ensuring alignment with data quality standards.
• Contribute to the development and maintenance of data governance policies related to data quality.
• Documentation and Reporting:
• Document data quality processes, procedures, and findings.
• Create and maintain data quality reports for tracking and auditing purposes.

What You Need to Qualify:

• Bachelor’s degree in computer science, Information Technology, Data Science, or a related field.
• Proven experience as a Data Quality Engineer, Data Analyst, or in a similar role.
• Strong understanding of data management principles, data governance, and data quality best practices.
• Proficiency in SQL and experience with relational databases.
• Experience with scripting languages (e.g., Python, R) for data manipulation and automation.
• Strong analytical skills with the ability to identify data issues and provide solutions.
• Excellent communication and collaboration skills.

Preferred Skills:

• Experience with big data technologies (e.g., Spark).
• Familiarity with cloud platforms (e.g., AWS) and their data services.
• Knowledge of machine learning and data science techniques.