Ubique Systems

TRPD-26-05504

ETL/DWH Test Engineer (Data Warehouse Testing)

Hiring an ETL/DWH Test Engineer (5–10 years) to validate end-to-end data pipelines and warehouse loads. The role focuses on analyzing business requirements and source-to-target mappings, creating ETL test plans/cases/data, executing backend/database/regression/integration and migration testing, and performing deep data validation (completeness, accuracy, integrity, uniqueness, consistency). Strong SQL (joins, subqueries, aggregations, analytic functions) and defect documentation/management are essential; exposure to common ETL tools and cloud data platforms is a plus.

Position summary

Location
India
Workplace
On-site
Employment
Full Time
Experience
Minimum 5 years and Maximum 10 years
Apply now

Role overview

Why This Role Matters.

Hiring an ETL/DWH Test Engineer (5–10 years) to validate end-to-end data pipelines and warehouse loads. The role focuses on analyzing business requirements and source-to-target mappings, creating ETL test plans/cases/data, executing backend/database/regression/integration and migration testing, and performing deep data validation (completeness, accuracy, integrity, uniqueness, consistency). Strong SQL (joins, subqueries, aggregations, analytic functions) and defect documentation/management are essential; exposure to common ETL tools and cloud data platforms is a plus.

Your Impact

Deliver Enterprise Value

Help organisations solve complex business problems through modern technology, consulting expertise and measurable outcomes.

Collaboration

Work Across Teams

Collaborate with consultants, architects, engineers and client stakeholders throughout the project lifecycle.

Growth

Learn Continuously

Gain exposure to enterprise technologies, certifications, mentoring and real-world project experience.

Career Path

Grow With Ubique

Build a long-term consulting career with opportunities to take on greater responsibility and leadership over time.

Responsibilities

What You'll Be Doing.

Every role at Ubique contributes directly to solving meaningful business challenges for our clients.

01

Analyse business requirements, ETL specifications and source-to-target mapping documents.

02

Prepare test plans, test scenarios, test cases and test data for ETL workflows.

03

Validate data extraction, transformation, loading, aggregation and business rules.

04

Perform source-to-target data validation and reconciliation.

05

Write complex SQL queries involving joins, subqueries, aggregations and analytical functions.

06

Validate data completeness, accuracy, integrity, uniqueness and consistency.

07

Test incremental loads, full loads, duplicate records, null values and exception handling.

08

Perform backend, database, regression, integration and data migration testing.

09

Investigate data mismatches and coordinate with ETL developers and data engineering teams.

10

Document defects, test evidence, execution results and closure reports.

11

ETL testing and Data Warehouse (DWH) testing.

12

Strong SQL and database testing.

Technology stack

Tools & Technologies.

The platforms and technologies you'll use to build modern, enterprise-grade solutions.

01

ETL testing

02

DWH testing

03

Data warehouse

04

SQL

05

Database testing

06

Source-to-target mapping

07

S2T validation

08

Data reconciliation

09

Data validation

10

Data quality

11

Incremental load

12

Full load

13

Regression testing

14

Integration testing

15

Data migration testing

16

Informatica

17

DataStage

18

SSIS

19

Talend

20

Snowflake

Requirements

Skills & Experience.

We value curiosity, collaboration and continuous learning. If you don't meet every requirement but believe you can make an impact, we'd still love to hear from you.

Essential

Required Qualifications

ETL testing

Data Warehouse (DWH) testing

Strong SQL (joins, subqueries, aggregations, analytical/window functions)

Database testing / backend testing

Source-to-target (S2T) mapping validation

Data reconciliation (source vs target)

Understanding of ETL workflows and data transformations

Validation of business rules and aggregations

Data quality validation (completeness, accuracy, integrity, uniqueness, consistency)

Testing incremental loads and full loads

Handling duplicates, nulls, and exception scenarios in ETL testing

Defect management (logging, tracking, closure)

Test documentation (test plans, scenarios, cases, evidence, execution results, closure reports)

Regression testing

Integration testing

Data migration testing

Preferred

Nice to Have

Informatica

IBM DataStage

SSIS

Talend

Snowflake

Oracle

SQL Server

Teradata

AWS Glue

Data lake / lakehouse concepts

Banking domain experience

What you'll gain

More Than Just A Job.

We're committed to helping every team member grow professionally, personally and technically while working on meaningful projects.

Global Exposure

Collaborate with international clients and multicultural teams on enterprise programmes.

Continuous Learning

Expand your expertise through mentoring, certifications and hands-on project experience.

Career Growth

Take ownership, develop leadership skills and grow your consulting career over time.

Flexible Working

Hybrid and remote collaboration designed around trust and delivering exceptional outcomes.

People First

Join a supportive culture where collaboration, respect and long-term relationships come first.

Enterprise Projects

Work on meaningful technology initiatives for leading organisations across industries.

Apply

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