Azure QA Engineer

Company Description

We are a consulting company with a bunch of technology-interested and happy people! We love technology, we love design, and we love quality. Our diversity makes us unique and creates an inclusive and welcoming workplace where each individual is highly valued. With us, each individual is her/himself and respects others for who they are and we believe that when a fantastic mix of people gather and share their knowledge, experiences and ideas, we can help our customers on a completely different level. We are looking for you who is immediate joiner and want to grow with us! With us, you have great opportunities to take real steps in your career and the opportunity to take great responsibility

Job Title: Azure QA Engineer

Experience: 810 Years
Location: PAN India (WFO)
Employment Type: Full-time

Job Overview

We are seeking an experienced Azure QA Engineer with strong expertise in validating cloud-based data pipelines, ETL workflows, and big data solutions. The ideal candidate will have hands-on experience in Azure Databricks, Azure Data Factory, SQL-based validation, and ETL testing to ensure data accuracy, reliability, and performance across modern analytics platforms.

Key Responsibilities

• Perform functional, regression, integration, and end-to-end testing for Azure-based data solutions.
• Validate ETL pipelines developed using Azure Data Factory (ADF) and Azure Databricks, ensuring data quality and accuracy.
• Review mapping documents, data models, and transformation logic to derive effective test scenarios and test cases.
• Conduct SQL-based data validation, including complex joins, aggregations, and data profiling.
• Verify data ingestion, transformation, and consumption across Data Lake, Databricks notebooks, ADF pipelines, and downstream systems.
• Perform data reconciliation, identify data gaps, and validate large datasets across distributed environments.
• Collaborate closely with Data Engineers, Architects, and Product Owners to understand business rules and technical workflows.
• Participate in CI/CD and automated testing processes where applicable.
• Document test results, defects, and quality metrics with clear communication to stakeholders.
• Ensure adherence to QA best practices, testing standards, and cloud governance guidelines.

Required Skills & Qualifications

• 512 years of hands-on QA experience with at least 3+ years in Azure data ecosystem.
• Strong expertise in Azure Data Factory (ADF), Azure Databricks, and ETL/Data pipeline testing.
• Proficiency in SQL for data validation, query optimization, and troubleshooting.
• Experience with Azure Data Lake, Delta Lake, and related data storage technologies.
• Good understanding of data modeling, data transformation logic, and ETL frameworks.
• Ability to analyze large datasets and validate end-to-end data flows.
• Familiarity with Agile methodologies, version control (Git), and DevOps concepts.
• Strong analytical, troubleshooting, communication, and documentation skills.

Preferred (Nice to Have)

• Experience with PySpark / Spark-based validation.
• Exposure to automation frameworks for data testing.
• Knowledge of Azure services such as Azure Synapse, Azure Functions, Logic Apps, etc.
• Understanding of data security, governance, and compliance in cloud environments.

Location: PAN India
Start Date: Immediate
Work Mode: WFO
Language Requirement: English (Excellent written and verbal skills)

Form of employment: Full-time until further notice, we apply 6 months probationary employment.

We interview candidates on an ongoing basis, do not wait to submit your application.