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Job Description: We are seeking a seasoned Senior Data Quality Engineer with expertise in designing and implementing robust data quality solutions for enterprise data systems. This is a development-focused role requiring a deep understanding of data engineering, data governance, and data cataloging. As a Senior Data Quality Engineer, you will be responsible for ensuring the accuracy, consistency, and reliability of data across platforms, empowering business teams with trusted insights. Key Responsibilities: Data Quality Frameworks and Implementation: Design, implement, and maintain data quality frameworks, standards, and best practices. Develop workflows for data profiling, validation, and cleansing to enhance data accuracy, consistency, and completeness. Leverage tools and technologies to automate data quality checks and streamline processes. Data Engineering for Quality Assurance: Collaborate with data engineering teams to design and implement ETL pipelines that embed data quality validations. Write efficient Python and SQL scripts for data quality checks and monitoring. Utilize data warehousing expertise to ensure robust data storage and access standards. Data Governance and Cataloging: Define and enforce data governance principles, policies, and quality rules. Implement and manage data cataloging tools to ensure data discoverability, lineage, and metadata management. Collaborate with stakeholders to establish data stewardship and ownership protocols. Collaboration and Issue Resolution: Work with cross-functional teams, including data scientists, analysts, and business users, to align data quality requirements with business needs. Investigate and resolve data anomalies, ensuring prompt resolution of quality issues. Provide technical guidance on best practices for data quality and governance. Monitoring and Reporting: Establish and monitor data quality metrics and KPIs to track improvements and identify potential issues. Deliver insights and recommendations through dashboards and reports, fostering a culture of data excellence. Required Skills Qualifications: Technical Proficiency: Advanced expertise in Python and SQL for data manipulation, quality checks, and automation. Strong knowledge of data warehousing concepts, ETL processes, and data pipelines. Hands-on experience with data quality tools such as Informatica Data Quality (IDQ) , Ataccama , Trifacta , or similar platforms. Familiarity with data governance frameworks, metadata management, and cataloging tools (e.g., Alation , Collibra , or similar). Cloud and Big Data Knowledge: Experience with cloud platforms such as AWS , Azure , or GCP is preferred. Exposure to tools like Databricks , Snowflake , or BigQuery is an added advantage. Analytical and Problem-Solving Skills: Ability to troubleshoot data inconsistencies and anomalies using an analytical and systematic approach. Communication and Collaboration: Strong verbal and written communication skills to interact with technical and non-technical stakeholders. Demonstrated ability to work in cross-functional teams to achieve data quality objectives. Educational Qualifications: Bachelor s or Master s degree in Computer Science, Data Science, Information Technology, or a related field. Preferred Qualifications: Certifications in data quality tools, data governance, or cloud platforms. Familiarity with machine learning or AI-powered data quality solutions is a plus. Previous experience in a data-driven, fast-paced organization. Why Join Us Work on cutting-edge data technologies and frameworks. Collaborate with a team of experts in an innovative and supportive environment. Competitive salary, comprehensive benefits, and opportunities for career growth. Be part of an organization that values data integrity and fosters a culture of excellence. As a Senior Data Quality Engineer , your contributions will directly impact the integrity and reliability of our data ecosystem, empowering data-driven decision-making across the organization. Join us in driving excellence in data quality and governance!
