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# AWS Data Quality Engineer

- **Company:** HCL America Inc.
- **Location:** Seattle, WA, United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Amazon S3, Data Transformation, Python (Programming Language), DataOps, SQL Databases, Workflow Management Systems, AWS Lambda, AWS Glue, Amazon Redshift
- **Published:** August 12, 2026
- **Apply:** https://www.dice.com/job-detail/7b3d0b44-3f9a-4507-9728-d58751d2e4bc

## About the Role

* 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

## Description

* 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.


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