Data Quality Engineer - Mobility

August 17

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Logo of Truelogic Software

Truelogic Software

Custom web and mobile software development • E-commerce development • Staff Augmentation Services • Offshore Development • Application Design - User Experience (UX)

501 - 1000

Description

• 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.

Requirements

• 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).

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