Data Engineer

Job Summary
We are seeking a highly skilled ETL Test Engineer with strong expertise in SQL, ETL Testing, and Databricks. The ideal candidate will be responsible for defining test strategies, preparing test plans, creating test cases, validating data pipelines, and executing end-to-end testing activities to ensure data accuracy, completeness, and quality across enterprise data platforms.
Key Responsibilities
Develop comprehensive Test Strategies and Test Plans for data migration, ETL, and analytics projects.
Design, create, and execute functional, integration, system, and regression test cases.
Validate ETL workflows, mappings, transformations, and data integrity across source and target systems.
Perform extensive SQL-based data validation and reconciliation testing.
Test and validate data pipelines developed using Databricks and modern cloud data platforms.
Analyze business requirements and create detailed test scenarios and test cases.
Execute test cycles and document defects using standard defect management tools.
Perform source-to-target data validation and ensure data quality standards are met.
Collaborate with developers, business analysts, and data engineers to resolve data issues.
Prepare test execution reports, defect summaries, and testing metrics.
Required Skills
Must-Have
Strong expertise in SQL with the ability to write complex queries, joins, subqueries, aggregates, and data validation scripts.
Hands-on experience in ETL Testing.
Strong experience with Databricks.
Expertise in creating Test Plans, Test Strategies, Test Scenarios, and Test Cases.
Experience in Test Execution, defect tracking, and reporting.
Strong knowledge of Data Warehousing concepts.
Experience in source-to-target validation and data reconciliation.
Understanding of ETL tools and data transformation processes.
Excellent analytical and problem-solving skills.
Good to Have
Experience with Snowflake, Azure Data Factory, or other cloud data platforms.
Automation testing experience using Python or Selenium.
Knowledge of Agile/Scrum methodologies.
Experience working with Jira or Azure DevOps.
Qualifications
Bachelor's degree in Computer Science, Information Technology, or a related field.
5+ years of experience in ETL/Data Testing.
Proven experience working on large-scale Data Warehouse and Analytics projects.

Work arrangement
Hybrid