HCLTech is seeking a Data Quality Engineer to advance data quality across the data pipeline in the US market. You will develop automated data validations, leverage AWS Glue, Redshift, S3, Lambda, and Airflow, and apply Deequ to monitor quality KPIs.
The role requires strong Python, SQL, and UNIX/Linux scripting, collaboration with data engineers and BI teams, and the ability to translate business rules into data quality metrics. Remote-friendly with competitive pay and benefits.
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