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DXC Luxoft
Open roleUpdated>14 days

Senior ETL Test Engineer

DXC LuxoftChennai, India
Work model
Office
Experience
7+ years
Employment
Full Time
Compensation
Not disclosed
Technology signal
11 tags

Technology context

11

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Role description

Project description

We are seeking a highly experienced and hands-on Senior ETL Test Engineer with at least 7 years of ETL and Data Warehouse testing experience. You will be responsible for validating complex data pipelines, ETL workflows, database transformations, APIs, and data migration processes across enterprise systems.

The three primary requirements for this position are

Strong hands-on Python automation

Advanced Oracle database and SQL expertise

Extensive hands-on ETL testing experience

You need to have strong data testing capabilities with practical Python automation skills. You should be able to independently design test strategies, write complex SQL queries, automate data validation, investigate data discrepancies, and perform end-to-end testing of batch and real-time data pipelines.

This is a senior, hands-on engineering position that requires direct involvement in testing, automation, troubleshooting, and defect resolution.

Responsibilities

  • Validate end-to-end ETL workflows, including data extraction, ingestion, transformation, loading, and reporting.

Review and validate source-to-target mappings, data transformation rules, business rules, and data quality requirements.

Design, develop, and execute comprehensive ETL test cases for

Batch data pipelines

Real-time and near-real-time data pipelines

Data warehouse solutions

Data migration initiatives

Data integration processes

Perform hands-on database testing across Oracle Database and MongoDB environments.

Write and execute complex SQL queries for

Source-to-target validation

Data reconciliation

Record-count verification

Duplicate detection

Referential integrity checks

Data completeness and accuracy checks

Transformation-rule validation

Aggregation and reporting validation

Develop and maintain reusable test automation frameworks and scripts using Python and PyTest.

Use Python to automate data extraction, comparison, reconciliation, validation, and test reporting activities.

Validate data files and datasets stored, transferred, or processed through AWS S3.

Test REST APIs and verify data flow, payload structure, response codes, error handling, and system-to-system integration.

Use tools such as Postman and Swagger to perform API validation and troubleshooting.

Perform end-to-end testing of data ingestion, transformation, storage, integration, and reporting processes.

Execute functional, integration, regression, system, and data validation testing.

Test data warehouse components, including fact tables, dimension tables, staging layers, aggregates, historical data, and reporting outputs.

SKILLS

Must have

  • 7+ years of hands-on ETL and Data Warehouse testing experience

Strong hands-on Python development and test automation experience

Advanced hands-on experience with Oracle Database and SQL

Strong experience with ETL testing concepts, methodologies, and validation techniques

Proven ability to write complex SQL queries involving

Multiple joins

Subqueries

Common table expressions

Aggregations

Analytical functions

Stored procedures

Data reconciliation logic

Strong experience validating source-to-target mappings and complex data transformation rules

Hands-on experience testing data warehouse and data migration solutions

Practical experience with MongoDB and testing MongoDB-based applications

Hands-on experience validating data stored and processed through AWS S3

Strong experience with REST API testing

Experience using Postman, Swagger, or similar API testing tools

Hands-on experience developing automation scripts and frameworks using Python

Practical experience with PyTest or similar Python testing frameworks

Experience performing

Functional testing

Integration testing

Regression testing

End-to-end testing

Database testing

Data validation testing

Strong knowledge of data reconciliation, data quality, data integrity, and data accuracy validation

Experience with defect management tools such as Jira and/or Azure DevOps

Strong analytical, debugging, troubleshooting, and root cause analysis skills

Excellent stakeholder communication, collaboration, and coordination skills

Ability to work independently in a senior, hands-on testing role

Nice to have

N/A