QA Engineer - Data

5 days ago

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Description

• Validates data and ETL pipelines for data warehouse. • Collaborates with cross-functional teams. • Manages defect resolution throughout lifecycle. • Develops and executes data quality tests. • Data mining and analysis on data warehousing systems. • Creates formal test plans for data-related projects. • Tracks quality assurance metrics. • Verifies data accuracy, completeness, and consistency. • Creates and maintains test data sets for regression testing. • Implements and maintains automated testing framework.

Requirements

• 2+ years of proven experience in software engineering. • Bachelor’s degree in computer science, Engineering, or equivalent experience. • Proven experience as a QA Engineer with focus data/ETL pipeline testing, regression data testing. • Proven experience with one of BigData technologies such Pyspark, Pandas, Spark, Hadoop, Hive. • Experience with creation/maintenance of data validation tools and frameworks. • Proficient in Python as well as AWS tools. • Knowledge of data modeling concepts and ETL processes. • Familiarity with data integration and data warehousing technologies such as Databricks/Snowflake. • Experience with system integration testing, end-to-end testing, databases, CI/CD pipelines. • Ability to document and troubleshoot errors. • Strong attention to detail and patience to track down difficult issues. • Possessing an analytical mind, critical-thinking skills, and problemsolving aptitude. • Strong organizational skills and ability to meticulously follow detailed steps. • Experience in creating robust test plans/strategies and test status for Big Data product deliverables. • Excellent verbal and written communication skills. • Willing and able to go above and beyond. • Ability to work collaboratively across different divisions.