Data Quality Engineer-India

Role Overview: As a Data Quality Engineer, you will play a crucial role in ensuring the integrity, accuracy, and reliability of the organization's data assets. Your expertise in data engineering, data quality engineering, and cloud technologies in Azure, GCP, or AWS will be vital. Additionally, exposure to artificial intelligence (AI) concepts and tools will be beneficial for this role. Key Responsibilities: - Collaborate with data owners and stakeholders to define and enforce data quality standards. - Develop and implement data cleansing strategies to address identified data quality issues. - Utilize data profiling tools and techniques to analyze data patterns and identify potential quality issues. - Work on optimizing data architectures for improved data quality and performance. - Utilize cloud platforms like Azure, AWS, or GCP to deploy and manage data quality solutions. - Leverage cloud services for scalable storage, processing, and analysis of large datasets. - Document data quality issues, root causes, and remediation steps. - Generate regular reports on data quality metrics and communicate findings to relevant stakeholders. - Work closely with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data quality requirements and implement effective solutions. Qualifications: - Bachelor's or Master's degree in Computer Science, Data Science, or a related field. - Proven experience as a Data Quality Engineer or in a similar role. - Strong knowledge of data engineering principles and best practices. - Hands-on experience with cloud platforms, especially Azure. - Familiarity with AI concepts and tools is preferred. - Proficiency in programming languages such as Python, SQL, or Java. - Excellent problem-solving and analytical skills. - Strong communication and collaboration skills.,