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!
