AWS Data Quality Engineer

• Develop automated scripts to validate source-to-target data movements, ensuring schema consistency, completeness, and timeliness.
• Build robust, reusable testing utilities using Python, native AWS services that integrate seamlessly into DataOps workflows.
• Set up continuous data drift monitoring, schema validation, and data quality dashboards to proactively catch pipeline failures.
• Partner with data engineers, BI teams, and software engineers to translate business rules into strict data quality KPIs and SLAs.

• Deep proficiency in AWS data and storage services like Amazon S3, AWS Glue, Amazon Redshift, and AWS Lambda.
• Advanced proficiency in Python for building automation frameworks and orchestrating data tests.
• Experience with orchestration tools (e.g., Apache Airflow), data transformation, and data quality monitoring frameworks (e.g., Amazon Deequ).
• Strong command of SQL and UNIX/Linux scripting for querying and analyzing large-scale, distributed datasets

Certifications: Candidate with AWS Certified Data Engineer Associate - Highly preferred

A candidate s pay within the range will depend on their work location, skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year.

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