Tester III - Software Testing

UST; Bengaluru; On-site; INR 1,500,000 - 2,200,000; Full time

Job summary

UST is seeking a skilled Databricks Test Engineer to validate data pipelines, ensure data quality, and automate testing across Databricks, Spark, and cloud ecosystems. The role emphasizes validating ETL processes, complex SQL validation, and developing Python/PySpark test scripts.

You will collaborate with data engineers and developers, participate in CI/CD and release validation, and perform end-to-end testing to ensure reliable data workflows in a fast-paced environment.

Qualifications

• Strong hands-on experience in ETL/Data Pipeline Testing, data validation, and reconciliation.
• Strong analytical, debugging, and problem-solving skills to identify root causes of data discrepancies.
• Good understanding of DevOps / CI/CD processes.
• Strong collaboration skills to work with developers, data engineers, and stakeholders through issue resolution.

Responsibilities

• Validate Databricks-based data pipelines, workflows, jobs, and data transformations.
• Perform source-to-target validation, data reconciliation, data-quality checks, and transformation testing.
• Write complex SQL queries to validate data accuracy, completeness, and business rules.
• Develop Python/PySpark-based test automation and data-validation scripts.
• Perform functional, integration, regression, end-to-end, and ETL testing.
• Participate in DevOps and CI/CD processes, including automated testing as part of deployment pipelines.
• Track defects and work closely with developers and data engineers through resolution.
• Support release validation and production testing activities.

Skills

Databricks

Spark

PySpark

Python

SQL

ETL Testing

DevOps

CI/CD

Genie Testing

Integration Testing

Regression Testing

Education

Bachelor’s or Master’s degree in CS/Engineering/IS

Job description

Who we are:

At UST, we help the world’s best organizations grow and succeed through transformation. Bringingtogether the right talent, tools, and ideas, we work with our client toco-create lasting change. Together, with over 30,000 employees in 30+ countries, we build for boundless impact—touching billions of lives in the process. Visit us at UST.com.

Summary

UST is looking for a skilled Databricks Test Engineer with strong experience in testing data engineering solutions, validating large-scale data pipelines, and ensuring data quality across Databricks, Spark, and cloud ecosystems.

The Opportunity

Perform comprehensive testing of Databricks-based data pipelines, workflows, jobs, and data transformations.

• Perform source-to-target validation, data reconciliation, data-quality checks, and transformation testing.
• Write complex SQL queries to validate data accuracy, completeness, and business rules.
• Develop Python/PySpark-based test automation and data-validation scripts.
• Perform functional, integration, regression, end-to-end, and ETL testing.
• Perform Databricks Genie testing, including validation of generated queries and outputs against expected business/data results.
• Identify data discrepancies and perform root-cause analysis.
• Validate job failures, exception handling, reprocessing scenarios, and pipeline dependencies.
• Participate in DevOps and CI/CD processes, including automated testing as part of deployment pipelines.
• Track defects and work closely with developers and data engineers through resolution.
• Support release validation and production testing activities.

Role Description

Who we are:

At UST, we help the world’s best organizations grow and succeed through transformation. Bringingtogether the right talent, tools, and ideas, we work with our client toco-create lasting change. Together, with over 30,000 employees in 30+ countries, we build for boundless impact—touching billions of lives in the process. Visit us at UST.com.

Summary

UST is looking for a skilled Databricks Test Engineer with strong experience in testing data engineering solutions, validating large-scale data pipelines, and ensuring data quality across Databricks, Spark, and cloud ecosystems.

The Opportunity

Perform comprehensive testing of Databricks-based data pipelines, workflows, jobs, and data transformations.

• Validate data-processing solutions developed using Apache Spark/PySpark.
• Perform source-to-target validation, data reconciliation, data-quality checks, and transformation testing.
• Write complex SQL queries to validate data accuracy, completeness, and business rules.
• Develop Python/PySpark-based test automation and data-validation scripts.
• Perform functional, integration, regression, end-to-end, and ETL testing.
• Perform Databricks Genie testing, including validation of generated queries and outputs against expected business/data results.
• Identify data discrepancies and perform root-cause analysis.
• Validate job failures, exception handling, reprocessing scenarios, and pipeline dependencies.
• Participate in DevOps and CI/CD processes, including automated testing as part of deployment pipelines.
• Track defects and work closely with developers and data engineers through resolution.
• Support release validation and production testing activities.

What You Need

Strong hands-on experience in ETL/Data Pipeline Testing, data validation, and reconciliation.

• Strong analytical, debugging, and problem-solving skills to identify root causes of data discrepancies.
• Good understanding of DevOps / CI/CD processes.
• Strong collaboration skills to work with developers, data engineers, and stakeholders through issue resolution.

Required Skills

Databricks (strong hands-on experience)

• Apache Spark / PySpark
• Python programming
• Advanced SQL for data validation and reconciliation
• ETL and data pipeline testing methodologies

Desired Skills

Databricks Genie Testing & validation of generated queries

• Python/PySpark-based test automation scripts
• Azure DevOps & Git / version control
• Delta Lake / Delta Tables
• Cloud platforms (Azure or AWS)
• Data Warehouse and data-modeling concepts
• Automated testing frameworks

Qualification

Bachelor’s or master’s degree in Computer Science, Engineering, Information Systems, or a related field (or equivalent professional experience).

What We Believe

We’re proud to embrace the same values that have shaped UST since the beginning. Since day one, we’ve been building enduring relationships and a culture of integrity. And today, it's those same values that are inspiring us to encourage innovation from everyone, to champion diversity and inclusion and to place people at the centre of everything we do.

Humility

We will listen, learn, be empathetic and help selflessly in our interactions with everyone.

Humanity

Through business, we will better the lives of those less fortunate than ourselves.

Integrity

We honour our commitments and act with responsibility in all our relationships.

Equal Employment Opportunity Statement

UST is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation.

All employment decisions shall be made without regard to age, race, creed, colour, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance.

• To support and promote the values of UST.
• Comply with all Company policies and procedures

Skills

Apache Spark, Databricks, PySpark, Python, SQL, ETL, DevOps, Databricks Genie Testing, CI/CD, Integration Testing, Regression Testing