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Title
Text copied to clipboard!Data Janitor
Description
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We are looking for a Data Janitor to join our growing data team. As a Data Janitor, you will play a crucial role in ensuring the quality, consistency, and reliability of our data assets. Your primary responsibility will be to clean, preprocess, and organize raw data from various sources, making it ready for analysis by data scientists, analysts, and other stakeholders. You will work closely with data engineers, analysts, and business teams to understand data requirements, identify inconsistencies, and implement solutions to improve data quality. The ideal candidate is detail-oriented, analytical, and passionate about working with data. You should have experience with data cleaning tools, scripting languages such as Python or R, and a solid understanding of data management best practices. In this role, you will develop and maintain data cleaning pipelines, document data issues, and contribute to the overall data governance strategy. You will also be responsible for monitoring data quality metrics, troubleshooting data anomalies, and collaborating with cross-functional teams to ensure data integrity. This is an excellent opportunity for someone who enjoys solving complex data problems and wants to make a significant impact on the organization’s data-driven decision-making processes.
Responsibilities
Text copied to clipboard!- Clean and preprocess raw data from multiple sources.
- Identify and resolve data inconsistencies and errors.
- Develop and maintain data cleaning scripts and pipelines.
- Collaborate with data engineers and analysts to understand data requirements.
- Document data quality issues and cleaning processes.
- Monitor and report on data quality metrics.
- Implement data validation and transformation procedures.
- Assist in developing data governance and quality standards.
- Troubleshoot data anomalies and provide solutions.
- Support data migration and integration projects.
Requirements
Text copied to clipboard!- Bachelor’s degree in Computer Science, Information Systems, or related field.
- Experience with data cleaning and preprocessing tools.
- Proficiency in scripting languages such as Python or R.
- Strong analytical and problem-solving skills.
- Attention to detail and high level of accuracy.
- Familiarity with databases and data management concepts.
- Excellent communication and documentation skills.
- Ability to work independently and in a team environment.
- Experience with data visualization tools is a plus.
- Knowledge of data governance and quality standards.
Potential interview questions
Text copied to clipboard!- Can you describe your experience with data cleaning and preprocessing?
- What tools and languages do you use for data cleaning?
- How do you handle missing or inconsistent data?
- Describe a challenging data quality issue you have resolved.
- How do you prioritize tasks when dealing with large datasets?
- What steps do you take to ensure data integrity?
- Have you worked with data governance frameworks before?
- How do you document your data cleaning processes?
- What is your experience with data migration or integration?
- How do you stay updated on best practices in data management?
