Data Quality Engineer - Mobility

Truelogic is a leading provider of nearshore staff augmentation services, located in New York. Our team of 500 tech talents is driving digital disruption from Latin America to the top projects in U.S. companies. Truelogic has been helping companies of all sizes to achieve their digital transformation goals.

Would you like to make innovation happen? Have you ever dreamed of building Products that impact millions of users? Nice! Then we have a seat for you on our team!

What are you going to do?

You will have the opportunity to work in a forward-thinking and growth-oriented environment, at a global urban mobility company.

Occupy a unique position in the market, where you will play a crucial role in implementing and maintaining the data governance framework within the People and Places organization. 

• Execute data quality standards and implement data validation rules.
• Conduct regular data quality assessments and generate reports on data quality issues. Collaborate with data owners and stewards to resolve data quality problems.
• Ensure adherence to data privacy and security policies (e.g., GDPR, CCPA).
• Implement and maintain data classification standards and assist in establishing and enforcing data access controls.
• Document and maintain comprehensive data lineage.
• Develop and manage metadata standards for data elements and datasets.
• Create and maintain data dictionaries and catalogs.
• Support the implementation of data governance workflows (e.g., data request and approval, issue management).
• Assist in developing and maintaining the business glossary and contribute to data onboarding and offboarding processes.
• Help establish and track key performance indicators (KPIs) for data governance.
• Generate regular reports on data governance effectiveness and participate in data governance reviews and continuous improvement initiatives

What will help you succeed

• Strong understanding of data governance principles and best practices.
• Experience with data quality management tools and techniques.
• Familiarity with data privacy regulations and security standards.
• Excellent analytical and problem-solving skills.
• Strong communication and collaboration abilities.
• Proficiency in SQL and data analysis tools.
• Experience with cloud-based data platforms (e.g., AWS, Azure, GCP).