01 Aug
|
Cognizant
|
Bengaluru
01 Aug
Cognizant
Bengaluru
We are seeking a skilled ETL Test Engineer with solid expertise in Python, Azure Databricks, and Azure Data Factory (ADF) to validate and ensure the quality of enterprise data solutions. The ideal candidate will have hands-on experience in data validation, ETL testing, data warehousing concepts, and cloud-based data engineering platforms. The candidate will work closely with developers, business analysts, and data engineers to ensure the accuracy, completeness, and reliability of data pipelines and reporting solutions.
Key Responsibilities
Design, develop, and execute test cases for ETL/Data Warehouse projects.
Validate data migration and data transformation processes across multiple source and target systems.
Perform source-to-target data validation, reconciliation, and completeness checks.
Test Azure Data Factory pipelines, workflows, and integrations.
Validate data processing and transformations implemented in Azure Databricks.
Develop and execute automated testing scripts using Python.
Analyze ETL mapping documents and business requirements to create effective test scenarios.
Perform backend testing using SQL queries and data validation techniques.
Identify, log, track,
and report defects using defect management tools.
Validate large datasets and ensure data quality, consistency, and integrity.
Collaborate with Data Engineers, Solution Architects, and Business Stakeholders during project delivery.
Participate in Agile ceremonies including sprint planning, daily standups, and retrospectives.
Prepare test reports, test execution summaries, and quality metrics.
Technical Skills
Solid experience in ETL Testing and Data Warehouse Testing.
Proficient in Python for automation and data validation.
Hands-on experience with Azure Databricks.
Solid working knowledge of Azure Data Factory (ADF).
Advanced SQL skills with experience in writing complex queries.
Experience in data validation, data reconciliation, and transformation testing.
Understanding of Data Warehousing concepts including:
Fact and Dimension tables
Star and Snowflake schemas
Slowly Changing Dimensions (SCD)
Experience with Azure Data Lake Storage (ADLS).
Knowledge of test automation frameworks and scripting.
📌 Python, Etl Testing, Azure Databrick; Azure Data Factory Bengaluru
🏢 Cognizant
📍 Bengaluru