What are the responsibilities and job description for the Data QA Analyst at Tata Consultancy Services position at Berkeley Industrial Engineering & Operations Research?
Job Title- Data Testing / ETL Testing
Location- Cleveland, OH
Salary Range- 70k to 90k
Job Description: Data QA / ETL Testing Analyst (Entry-Level)
Role Overview
Assist in data testing and validation activities for ETL pipelines and data applications. Support requirement analysis and develop an understanding of data flows, transformations, and business rules.
Help design and execute test cases for data validation, reconciliation, and data quality checks. Use SQL and basic Python to perform data validation, comparison, and profiling activities.
Assist in identifying data inconsistencies and defects, and support root cause analysis (RCA). Support test execution, defect logging, tracking, and reporting activities.
Participate in data pipeline validation to ensure accuracy, completeness, and consistency. Assist with documentation of test cases, results, and validation reports.
Collaborate with data engineers, business analysts, and project teams to ensure quality deliverables. Support adherence to data governance, compliance, and quality standards in the BFSI domain.
Qualifications And Specialization
Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Engineering, or a related field.
Basic Understanding Of
SQL and databases
ETL/data warehousing concepts
Data validation and testing fundamentals
Exposure (academic/project Level) To
Python (basic scripting for data tasks)
Data analysis or reporting tools
Strong analytical, attention-to-detail, and problem-solving skills.
Good communication and documentation skills.
Unique Experience from this Role
Exposure to large-scale ETL/data pipeline testing in a banking environment. Opportunity to work on financial data systems and regulatory data validation.
Hands-on experience in data quality assurance and testing practices. Collaboration with cross-functional teams, including data engineers and business stakeholders.
Practical exposure to real-world data governance and compliance standards.
Learning Outcomes
Develop foundational knowledge in ETL/data testing and quality assurance. Gain hands-on experience with SQL and Python for data validation.
Understand data pipelines, transformations, and warehousing concepts. Learn defect tracking, root cause analysis, and test lifecycle processes.
Build knowledge of BFSI domain data systems and compliance requirements. Enhance analytical thinking, attention to detail, and communication skills.
Opportunity to grow into roles such as Data QA Engineer, ETL Tester, or Data Engineer.
Location- Cleveland, OH
Salary Range- 70k to 90k
Job Description: Data QA / ETL Testing Analyst (Entry-Level)
Role Overview
Assist in data testing and validation activities for ETL pipelines and data applications. Support requirement analysis and develop an understanding of data flows, transformations, and business rules.
Help design and execute test cases for data validation, reconciliation, and data quality checks. Use SQL and basic Python to perform data validation, comparison, and profiling activities.
Assist in identifying data inconsistencies and defects, and support root cause analysis (RCA). Support test execution, defect logging, tracking, and reporting activities.
Participate in data pipeline validation to ensure accuracy, completeness, and consistency. Assist with documentation of test cases, results, and validation reports.
Collaborate with data engineers, business analysts, and project teams to ensure quality deliverables. Support adherence to data governance, compliance, and quality standards in the BFSI domain.
Qualifications And Specialization
Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Engineering, or a related field.
Basic Understanding Of
SQL and databases
ETL/data warehousing concepts
Data validation and testing fundamentals
Exposure (academic/project Level) To
Python (basic scripting for data tasks)
Data analysis or reporting tools
Strong analytical, attention-to-detail, and problem-solving skills.
Good communication and documentation skills.
Unique Experience from this Role
Exposure to large-scale ETL/data pipeline testing in a banking environment. Opportunity to work on financial data systems and regulatory data validation.
Hands-on experience in data quality assurance and testing practices. Collaboration with cross-functional teams, including data engineers and business stakeholders.
Practical exposure to real-world data governance and compliance standards.
Learning Outcomes
Develop foundational knowledge in ETL/data testing and quality assurance. Gain hands-on experience with SQL and Python for data validation.
Understand data pipelines, transformations, and warehousing concepts. Learn defect tracking, root cause analysis, and test lifecycle processes.
Build knowledge of BFSI domain data systems and compliance requirements. Enhance analytical thinking, attention to detail, and communication skills.
Opportunity to grow into roles such as Data QA Engineer, ETL Tester, or Data Engineer.