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 to review 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.
  
  

Screening Questions – Explain in detail for below questions.

Full Name:

Degree Major with University and Completion year?

Total experience as an Data ETL QA:

Total experience with Advanced Proficiency in SQL to write and execute queries for data validation?

Total experience databases like PostGreSQL, Snowflake and data warehousing concepts?

Total experience validate and verify data integrity, accuracy, completeness, and consistency during the ETL process?

Total experience with data migration processes, ETL (Extract, Transform, Load) methodologies, and data integration?

Total experience Salesforce and Salesforce data models?

Total experience AWS, Heroku and cloud architecture?

Total experience SOQL queries?