QA

HoonarTek; Mumbai; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Hoonartek is a global leader in data engineering, analytics and data integration, delivering Databricks-based data platform solutions and end-to-end data workflows for enterprise clients. The QA Engineer will validate data quality, transformations, and API integrations within the Databricks Lakehouse environment.

Ideal candidates have 3–6 years of experience in data testing, strong SQL skills, and hands-on work with PySpark.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
• Strong SQL skills for complex data validation.
• Experience with Databricks, Delta Lake and Lakehouse architectures.
• Experience in API testing using Postman or similar tools.

Responsibilities

• Data Validation & Testing: Validate ingestion, transformation, loading and data quality across datasets.
• Functional & Integration Testing: Test Databricks notebooks/workflows and API integrations; end-to-end data pipelines.
• Automation & Performance Testing: Develop automated data validation scripts and run regression tests; support performance testing.
• Preparation of test reports and sign-off: Document evidence, defects, and collaborate with stakeholders for QA closure.

Skills

Data Testing

ETL Testing

Databricks Testing

SQL

PySpark

API Testing

Education

Bachelor's degree in CS/IT/Engineering

Tools

Postman

JIRA/Azure DevOps

Databricks

Delta Lake

Azure Data Factory

Job description

We empower enterprises globally through intelligent, creative, and insightful services for data integration, data analytics and data visualization.

Hoonartek is a leader in enterprise transformation, data engineering and an acknowledged world-class Ab Initio delivery partner.

Using centuries of cumulative experience, research and leadership, we help our clients eliminate the complexities & risk of legacy modernization and safely deliver big data hubs, operational data integration, business intelligence, risk & compliance solutions and traditional data warehouses & marts.

At Hoonartek, we work to ensure that our customers, partners and employees all benefit from our unstinting commitment to delivery, quality and value. Hoonartek is increasingly the choice for customers seeking a trusted partner of vision, value and integrity

How We Work?

Define, Design and Deliver (D3) is our in-house delivery philosophy. It's culled from agile and rapid methodologies and focused on 'just enough design'. We embrace this philosophy in everything we do, leading to numerous client success stories and indeed to our own success.

We embrace change, empowering and trusting our people and building long and valuable relationships with our employees, our customers and our partners. We work flexibly, even adopting traditional/waterfall methods where circumstances demand it. At Hoonartek, the focus is always on delivery and value.

Job Description

Job Summary

We are seeking a QA Engineer with experience in testing cloud-based data platforms, ETL pipelines, and Databricks solutions. The ideal candidate will be responsible for validating data quality, data transformations, API integrations, and end-to-end data workflows within the Databricks Lakehouse environment. The role requires strong SQL skills, data validation expertise, and a thorough understanding of data engineering concepts.

Key Responsibilities

Data Validation & Testing

• Validate data ingestion, transformation, and loading processes in Databricks.
• Develop and execute test cases for ETL/ELT pipelines.
• Perform source-to-target data validation and reconciliation.
• Validate data quality, completeness, accuracy, and consistency across datasets.
• Perform record count, aggregation, null check, duplicate check, and business rule validations.

Functional & Integration Testing

• Test Databricks notebooks, workflows, and jobs.
• Validate API integrations and downstream system consumption.
• Perform end-to-end testing of data pipelines across Bronze, Silver, and Gold layers.
• Verify data model implementation and business logic against requirements.

Automation & Performance Testing

• Develop automated test scripts for data validation.
• Execute regression testing for data pipelines and APIs.
• Support performance and volume testing of large-scale datasets.
• Identify bottlenecks and work with development teams to improve performance.
• Log, track, and manage defects through closure.
• Work closely with Data Engineers, Data Modelers, Architects, and Business Analysts.
• Prepare test reports, test evidence, and sign-off documentation.
• Participate in requirement reviews and quality assurance activities.

Required Skills

• 3-6 years of experience in Data Testing / ETL Testing.
• Hands-on experience testing Databricks-based solutions.
• Strong SQL skills for complex data validation.
• Experience with PySpark and understanding of Spark transformations.
• Experience in source-to-target validation and data reconciliation.
• Knowledge of ETL/ELT processes and Data Warehousing concepts.
• Experience in API testing using Postman or similar tools.
• Understanding of Delta Lake and Lakehouse Architecture.
• Familiarity with defect tracking tools such as JIRA or Azure DevOps.

Preferred Skills

• Experience with Databricks Workflows and Jobs.
• Knowledge of Azure Data Factory (ADF).
• Experience with test automation frameworks.
• Exposure to CI/CD pipelines and DevOps practices.
• Understanding of Data Governance and Data Quality frameworks.
• Experience with cloud platforms such as Azure.

Educational Qualification

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
• Strong analytical and troubleshooting skills.
• Attention to detail and data accuracy.
• Good communication and stakeholder management skills.
• Ability to work independently and within Agile teams.
• Strong documentation and reporting capabilities.

Mandatory Skills

• Databricks Testing
• SQL
• Data Validation
• ETL/ELT Testing
• Source-to-Target Mapping Validation
• API Testing

Nice to Have

• PySpark
• Test Automation
• CI/CD
• Power BI Validation
• Performance Testing