AWS Data Quality Engineer - DataOps & Automation

HCL Technologies Limited; Seattle (WA); On-site; USD 69,000 - 128,000; Full time

Benefits offered by this job

Medical benefits

Employee assistance program

401(k) retirement plan

Paid time off

Job summary

HCL Technologies Limited is seeking an AWS Data Quality Engineer to join our data-ops team in a full-time capacity in the United States. The role focuses on validating data movements, enforcing schema accuracy, and building automated data quality tests using AWS services and Python.

Strong SQL and UNIX/Linux scripting are required, with experience in Airflow and Deequ highly preferred. Compensation ranges from 69,000 to 128,000 USD, with potential bonuses and comprehensive benefits.

Qualifications

• 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

Responsibilities

• 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.

Job description

HCL Technologies Limited is seeking an AWS Data Quality Engineer to join our data-ops team in a full-time capacity in the United States. The role focuses on validating data movements, enforcing schema accuracy, and building automated data quality tests using AWS services and Python.

Strong SQL and UNIX/Linux scripting are required, with experience in Airflow and Deequ highly preferred. Compensation ranges from 69,000 to 128,000 USD, with potential bonuses and comprehensive benefits.