The Role
Designs and executes ETL, data validation, functional, regression, and integration tests. Validates extraction, transformation, loading, data reconciliation, and source-to-target mappings using SQL. Identifies and reports data quality defects while collaborating with data engineers, developers, and business teams. Requires ETL/data testing, database testing, data warehouse knowledge, defect tracking, and QA process experience. Familiarity with Databricks, Python, PySpark, cloud platforms, Snowflake, and test automation is preferred.
Summary Generated by Built In
QA & Data – ETL Test Engineer
Experience: 4–8 Years
Job SummaryWe are looking for an experienced ETL Test Engineer with strong experience in data testing, ETL validation, and database testing.
Key Responsibilities- Design and execute ETL and data validation test cases.
- Validate data extraction, transformation, and loading processes.
- Perform data reconciliation and source-to-target validation.
- Write and execute SQL queries for data validation.
- Identify, analyze, and report data quality issues and defects.
- Work closely with Data Engineers, Developers, and Business teams.
- Participate in functional, regression, and integration testing.
- Strong experience in ETL/Data Testing.
- Strong SQL skills.
- Experience with ETL tools and data pipelines.
- Good understanding of Data Warehouse concepts.
- Experience in source-to-target mapping and data validation.
- Good knowledge of defect tracking and QA processes.
- Experience with Databricks.
- Knowledge of PySpark/Python.
- Experience with Azure/AWS/GCP.
- Knowledge of Snowflake or other cloud data platforms.
- Experience with automation testing.
Skills Required
- 4-8 years of experience
- Strong experience in ETL and data testing
- Strong SQL skills
- Experience with ETL tools and data pipelines
- Understanding of data warehouse concepts
- Experience with source-to-target mapping and data validation
- Knowledge of defect tracking and QA processes
- Experience with Databricks
- Knowledge of PySpark or Python
- Experience with Azure, AWS, or GCP
- Knowledge of Snowflake or other cloud data platforms
- Experience with automation testing
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The Company
What We Do
Winfo Solutions is an AI innovation-led digital transformation company that helps organizations modernize operations, accelerate growth, and unlock value from data, automation, cloud, and enterprise technologies. It delivers Oracle transformation, AI-powered innovation, intelligent automation, data engineering, analytics, business intelligence, cloud modernization, managed services, and custom application development for global enterprises across industries seeking stronger business outcomes and modernized technology environments.
