Data QA Engineer - Pipelines & Quality (Hybrid Dublin)

Ex; Leinster; Hybrid; EUR 85,000 - 110,000; Full time

Benefits offered by this job

Private healthcare

Life assurance 4x annual salary

Pension

Job summary

EXL is seeking a Data QA Engineer in Dublin to own QA across data products, delivering reliable pipelines through manual and automated testing. You will define test strategies, champion quality practices, and report on progress and risks to enable informed release decisions.

You will apply strong SQL, AWS data services (S3, Glue, Lambda, Step Functions, Redshift, CloudWatch), and Python automation to validate end-to-end data pipelines, monitor health, and contribute to continuous improvement in

Qualifications

• Strong SQL skills and data testing experience.
• Hands-on testing of data pipelines, ETL, or data warehouses.
• Experience with AWS services (S3, Glue, Lambda, Step Functions, Redshift, CloudWatch).
• Knowledge of structured and semi-structured data (Parquet, JSON, CSV).
• Solid understanding of data warehousing concepts and dimensional modelling.
• 5+ years in software QA with emphasis on manual testing.
• Proven experience testing complex web/mobile apps.
• Strong QA methodologies, SDLC, and Agile/Scrum.
• Experience with Jira, TestRail, or similar tools.
• Automation skills to write tests for pipelines (Python).
• Experience integrating tests into CI/CD (Azure DevOps).

Responsibilities

• Validate end-to-end data pipelines from source systems to data marts.
• Test batch data loads.
• Validate transformations, aggregations, and derived metrics.
• Ensure data completeness, accuracy, and consistency across layers.
• Understand data governance, privacy, and PII handling.
• Data Warehouse & Data Mart Validation.
• Write complex SQL queries to validate fact and dimension tables in Redshift.
• Perform reconciliation between raw, curated, and reporting layers.
• Validate business KPIs and metrics against source systems.
• Operational monitoring & troubleshooting.
• Review Glue job and Lambda execution logs to troubleshoot data issues.
• Monitor pipeline health, failures, and data refresh SLAs.

Skills

SQL

Manual testing

QA methodologies

Agile/Scrum

Test design

Defect management

Reporting

Automation (Python)

Tools

AWS S3

AWS Glue

AWS Lambda

AWS Step Functions

AWS Redshift

AWS CloudWatch

Jira

TestRail

Python

Azure DevOps

Job description

EXL is seeking a Data QA Engineer in Dublin to own QA across data products, delivering reliable pipelines through manual and automated testing. You will define test strategies, champion quality practices, and report on progress and risks to enable informed release decisions.

You will apply strong SQL, AWS data services (S3, Glue, Lambda, Step Functions, Redshift, CloudWatch), and Python automation to validate end-to-end data pipelines, monitor health, and contribute to continuous improvement in