This role requires a strong focus on ensuring the accuracy, reliability, and integrity of data within our Snowflake environment.
As a key member of the organization, you will play a critical role in optimizing data quality management processes, ensuring high data standards across projects, and collaborating with cross-functional teams to deliver reliable and trusted data solutions.
Job Title: Snowflake Data Quality Engineer
Location: Hybrid – Hyderabad/Bangalore/Pune
Experience: 7+ years
Employment Type: Full-time
Key Responsibilities:
- Develop and implement data quality frameworks within the Snowflake environment.
- Design, build, and maintain data validation scripts to ensure data accuracy, completeness, and consistency.
- Optimize data pipelines to maintain data integrity and performance.
- Monitor and maintain data quality metrics and dashboards to assess data reliability.
- Conduct data profiling and perform root cause analysis of data quality issues.
- Identify data discrepancies and recommend corrective and preventive solutions.
- Collaborate with data engineers, analysts, and business stakeholders to resolve data quality issues.
- Establish and track KPIs related to data quality and reliability.
- Provide expertise in data quality management best practices and Snowflake features.
- Stay updated with industry standards and emerging trends in data quality management.
Required Skills
- Bachelor's degree in Computer Science, Information Systems, or a related field.
- 7+ years of experience in data engineering, data governance, or data quality roles.
- Proficiency in Snowflake architecture and SQL for data manipulation and validation.
- Hands-on experience with the Snowflake data platform.
- Hands-on experience with ETL/ELT processes and automated data validation tools.
- Strong understanding of data governance frameworks and quality standards.
- Proven experience implementing data validation, monitoring, and security control
