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Job Description

Job Description :


Key Responsibilities :

- Lead data quality initiatives for the Data Engineering and Analytics and Business Intelligence teams, ensuring high standards of data integrity and accuracy.

- Collaborate with the Data Desk team to identify and address data quality issues, leveraging insights from manual fixes to inform automation efforts.

- Work closely with data engineers to design and implement data pipelines that enhance data quality and streamline processes.

- Develop and maintain data quality metrics, dashboards, and reports to monitor data quality performance across various zones.

- Implement and optimize data quality processes and procedures, focusing on automation to reduce manual intervention.

- Engage with stakeholders across different zones to understand their data quality needs and provide strategic recommendations.

- Stay updated on industry best practices and emerging technologies related to data quality and automation.

Qualifications :

- Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.

- Proven experience of at least 7+ years in data quality management, data governance, or a similar role.

- Experience in leading data quality initiatives and implementing data quality frameworks.

- Strong knowledge of data engineering concepts, with proficiency in Informatica, Python, and SQL.

- Excellent analytical and problem-solving skills, with a strategic mindset.

- Strong communication and collaboration skills, with the ability to work effectively with cross- functional teams.

- Familiarity with data quality tools and technologies is a plus

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