Senior ETL & Data Quality Test Engineer

Tata Consultancy Services; Letterkenny; On-site; EUR 65,000 - 85,000; Full time

Benefits offered by this job

Pension scheme

Health insurance

Laptop and mobile phone

Extensive training resources

Discounts within Tata network

London Marathon sponsorship info

Job summary

Tata Consultancy Services in Letterkenny, Ireland, is looking for an experienced ETL/Data Test Engineer to join our QA team. You will lead hands-on data testing, ETL validation, data migration checks, SQL verification and automation testing within an Agile delivery model.

You will review requirements, design clear test scenarios, investigate data issues, perform root-cause analysis and communicate quality risks to stakeholders to ensure reliable data across systems.

Qualifications

• 5+ years in software testing or QA with data focus.
• Strong data validation, defect analysis and cross-system reconciliation.
• Experience with SDLC, Agile, Jira and Confluence.
• Excellent communication and risk escalation skills.
• Hands-on test automation using Selenium, Java or Python.

Responsibilities

• Own QA activities from requirements through release readiness.
• Design and execute test scenarios for functional, integration and data testing.
• Validate ETL, data migration, reconciliation and batch processing.
• Write complex SQL for backend validation and data checks.
• Investigate data issues, root cause analysis and raise risks early.
• Collaborate across Agile teams and communicate quality status.

Skills

Test analysis

Data reconciliation

Root cause analysis

QA ownership

Communication

Automation testing

SQL validation

Linux/Unix

Tools

Jira

Confluence

Selenium

TestNG

Python

Autosys

SQL Server

PostgreSQL

Oracle

Job description

Tata Consultancy Services in Letterkenny, Ireland, is looking for an experienced ETL/Data Test Engineer to join our QA team. You will lead hands-on data testing, ETL validation, data migration checks, SQL verification and automation testing within an Agile delivery model.

You will review requirements, design clear test scenarios, investigate data issues, perform root-cause analysis and communicate quality risks to stakeholders to ensure reliable data across systems.