Snowflake Data Quality Engineer

Description :

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 :

- Bachelors 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.