Job Description

Role Summary:

We are looking for a highly skilled

Data Subject Matter Expert (SME)

to lead

test strategy development

and perform

exploratory testing

across our data pipelines and Azure-based data platform. The ideal candidate has a strong understanding of

data quality assurance

,

Azure services

, and

data lifecycle

, with hands-on experience testing complex ETL/ELT workflows and ensuring data reliability, accuracy, and compliance.

Key Responsibilities:

Define and implement comprehensive

data test strategies

for cloud-based data platforms (especially Azure). Conduct

exploratory testing

of data pipelines, transformations, and integrations to identify data quality issues and edge-case failures. Collaborate with data engineering and analytics teams to understand data flows, ingestion mechanisms, transformation logic, and business rules. Design and execute validation for: + Source to target data completeness and correctness
+ Schema evolution handling
+ Data transformation logic validation
+ Performance and scalability of pipelines
Build or enhance

test automation frameworks

and reusable data validation scripts (SQL, PySpark, Python, etc.). Monitor and validate data pipeline jobs in

Azure Data Factory, Databricks, Synapse, or other Azure components

. Create test documentation: strategy docs, test plans, traceability matrices, defect reports, and sign-off criteria. Provide guidance and best practices around

data testing, lineage tracking, data observability, and monitoring

.

Required Skills & Experience:

5+ years

of experience in data testing / data QA / data validation roles. Proven expertise in defining

test strategy and QA processes

for data platforms. knowledge of

Azure Data Services

: Solid

SQL

and

PySpark

skills - must be able to write complex queries for validation. Experience in

exploratory testing

of data: identifying anomalies, probing logic errors, working without fully defined test cases. Exposure to

CI/CD

,

test automation frameworks

, version control (Git), and Azure DevOps or similar tools. Understanding of data modeling, data lineage, and data governance principles. Investment background is a plus

Job Title:

Data SME - Test Strategy & Exploratory Testing (Azure Data Platform)

Location:

Bangalore

Experience Level:

5+ years in Data Testing / Data Engineering / QA

Type:

Contract

Role Summary:

We are looking for a highly skilled

Data Subject Matter Expert (SME)

to lead

test strategy development

and perform

exploratory testing

across our data pipelines and Azure-based data platform. The ideal candidate has a strong understanding of

data quality assurance

,

Azure services

, and

data lifecycle

, with hands-on experience testing complex ETL/ELT workflows and ensuring data reliability, accuracy, and compliance.

Key Responsibilities:

Define and implement comprehensive

data test strategies

for cloud-based data platforms (especially Azure). Conduct

exploratory testing

of data pipelines, transformations, and integrations to identify data quality issues and edge-case failures. Collaborate with data engineering and analytics teams to understand data flows, ingestion mechanisms, transformation logic, and business rules. Design and execute validation for: + Source to target data completeness and correctness
+ Schema evolution handling
+ Data transformation logic validation
+ Performance and scalability of pipelines
Build or enhance

test automation frameworks

and reusable data validation scripts (SQL, PySpark, Python, etc.). Monitor and validate data pipeline jobs in

Azure Data Factory, Databricks, Synapse, or other Azure components

. Create test documentation: strategy docs, test plans, traceability matrices, defect reports, and sign-off criteria. Provide guidance and best practices around

data testing, lineage tracking, data observability, and monitoring

.

Required Skills & Experience:

5+ years

of experience in data testing / data QA / data validation roles. Proven expertise in defining

test strategy and QA processes

for data platforms. knowledge of

Azure Data Services

: Solid

SQL

and

PySpark

skills - must be able to write complex queries for validation. Experience in

exploratory testing

of data: identifying anomalies, probing logic errors, working without fully defined test cases. Exposure to

CI/CD

,

test automation frameworks

, version control (Git), and Azure DevOps or similar tools. Understanding of data modeling, data lineage, and data governance principles. Investment background is a plus

About Virtusa

Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth -- one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.


Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.


Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.