Careermilard Invites Applications For FULL TIME Data ETL QA

An exciting opportunity: Data ETL QA! This is an exciting Remote opportunity with an immediate start. This position requires a strong skillset in relevant areas. The compensation for this role is Competitive salary.

Data ETL QA 100 % Remote Job Full Time Job Requirements:- SQL and Database Knowledge (Mandatory): ? Advanced Proficiency in SQL to write and execute queries for data validation. ? Working experience with databases like PostGreSQL, Snowflake and data warehousing concepts. Data Analysis and Profiling : ? Strong analytical skills toreview and analyze data for quality issues, inconsistencies, and discrepancies. ? Proficiency in data profiling tools and techniques to analyze data quality, detect anomalies, and identify patterns within data. Data Quality and Validation (Mandatory): ? Ability to validate and verify data integrity, accuracy, completeness, and consistency during the ETL process. ? Knowledge of data quality tools and frameworks. Test Design and Execution: ? Design test cases and scenarios to verify the accuracy, completeness, and consistency of migrated data. ? Execute test cases and document results, identifying and reporting defects and anomalies. Skills ? 6+ years of experience in design and execution of Test plan, data migration strategy, application testing, and performance tuning. ? Proficient in SQL and database performance tuning. ? Proven experience as a data migration test engineer or in a similar role. ? Strong knowledge of data migration processes, ETL (Extract, Transform, Load) methodologies, and data integration. ? Proficiency in testing tools and frameworks, as well as data validation and verification techniques. ? Experience with test plan management and status reporting tools such as Jira is essential. ? Extensive experience in functional, Regression testing is essential. ? Excellent problem-solving and communication skills. ? Experience of working within an agile delivery framework is preferred Preferred: ? Proficient in Salesforce and Salesforce data models. ? SOQL queries. ? Good understanding of AWS, Heroku and cloud architecture.