Senior Data Quality & ETL Analytics Engineer

HCLTech; United States; On-site; USD 78,000 - 148,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) plan

Paid time off

Paid holidays

Life insurance

Disability insurance

Employee assistance program

Job summary

HCLTech is seeking a Data Analyst Engineer with a strong Data Quality, ETL/ELT Testing, and Analytics Engineering background to drive data validation and quality governance across large-scale AWS-based data platforms.

You will partner with Data Engineers, Product Teams and stakeholders to ensure data accuracy, completeness, and reliability across critical datasets, and you will design automated validation frameworks to prevent defects before production.

Qualifications

• 6–10 years in Data Eng, Analytics Eng, or Data QA.
• Ownership of data quality strategy for production platforms.
• Experience defining release gates and preventing defective data deployments.
• Hands-on with automated validation frameworks.
• Ability to review transformation logic and orchestration workflows.
• Experience supporting data products powering applications and reporting.
• Experience with CI/CD, data governance, or data SLAs/SLOs.

Responsibilities

• Validate ETL/ELT transformations against business requirements.
• Perform source-to-target data reconciliation for completeness and accuracy.
• Identify data anomalies and quality issues across pipelines.
• Design and maintain automated data validation frameworks.
• Create dashboards to track data quality metrics.
• Configure monitoring and alerting for data quality thresholds.
• Collaborate with Data Engineers and stakeholders to ensure data reliability.
• Lead quality improvement initiatives and define DoD standards.

Skills

Advanced SQL

AWS Data Services

Python for automation

ETL/ELT architectures

Test planning & QA

Data profiling

Great Expectations/dbt Tests

Tools

Great Expectations

dbt Tests

Soda Core

Airflow

AWS Glue

Job description

HCLTech is seeking a Data Analyst Engineer with a strong Data Quality, ETL/ELT Testing, and Analytics Engineering background to drive data validation and quality governance across large-scale AWS-based data platforms.

You will partner with Data Engineers, Product Teams and stakeholders to ensure data accuracy, completeness, and reliability across critical datasets, and you will design automated validation frameworks to prevent defects before production.