Sr Lead Engineer - I_ETL Testing

Role overview

Sr Lead Engineer - I_ETL Testing at Citius

Data Analyst & ETL testing, Data Warehousing, and Database validation

Mandatory Skills: The ideal candidate must have strong hands-on experience in:

Handling and validating data across various file formats

Azure integration and Azure DevOps pipelines Role &

Responsibilities

• Possess 10+ years of experience in Data Analysis ,QA across ETL, Data Warehouse, BI, Data Quality, and UI testing
• Perform end-to-end validation of data pipelines / ETL processes
• Develop and execute test strategies for data validation, UI, and API (REST) testing
• Demonstrate hands-on expertise in Python, including libraries for:
• Database interaction
• File handling
• API testing
• Azure integration
• Design and implement test plans and test data preparation strategies
• Create and maintain test cases, test scenarios, and test documentation aligned with standard templates
• Manage defect lifecycle, including:
• Defect identification and logging
• Usage of defect templates
• Timely reporting and tracking
• Participate in Agile estimation activities, including:
• T-shirt sizing
• Planning Poker for features, user stories, and releases
• Track, analyze, and report QA quality metrics to stakeholders as required
• Provide technical guidance and support to team members to resolve queries and challenges
• Collaborate closely with developers, QA teams, and cross-functional stakeholders to identify, troubleshoot, and resolve defects efficiently
• Experience in designing or working with data testing automation frameworks
• Experience with automation of data testing across:
• On-premise and Azure cloud environments
• Regression test suite automation
• Hands-on experience with:
• Python-based automation (pandas, pytest, requests, sqlalchemy, cursors, Azure SDKs)
• Azure DevOps Test Plans and pipelines
• Snowflake Database

Required qualifications

• Mandatory Skills Demonstrated experience in ETL and data pipeline validation, ensuring data accuracy, completeness, and integrity across systems.

Preferred qualifications and skills

• Exhibit strong communication, interpersonal, and team collaboration skills Nice to Have (Preferred Skills)

Employment details

• Location: Chennai [India]

Additional role details

• Key Skill /Skill Specialization
• ETL testing, Data Warehousing, and Database validation
• Power BI testing and validation
• Writing and optimizing SQL queries across multiple databases
• UI, and API (REST) testing
• Proven ability to validate file ingestion processes, including performing comprehensive checks on Parquet, CSV, and TXT files within Azure Data Lake Storage (ADLS) using Python.
• Strong hands-on experience in executing and validating SQL queries via Python across platforms such as Snowflake, Azure SQL Managed Instance, and Amazon Redshift.
• Experience in executing, monitoring, and validating Azure Data Factory (ADF) pipelines, ensuring successful orchestration and data movement across environments.
• Desired Skills Strong proficiency in SQL, Python, Azure cloud services, Snowflake, and Azure Data Factory (ADF) Hands-on experience in data testing automation using Python, leveraging libraries such as: (pandas, pyodbc, requests, sqlalchemy, Azure SDKs, and database cursors) Exposure to modern test automation frameworks, including Robot Framework and Pytest, for scalable and maintainable test execution