Software Development Engineer-Test II
Amgen
Software Development Engineer-Test II
Job Description
ABOUT AMGEN
What you will do
- Develop and implement comprehensive testing strategies for MDM applications, including defining test objectives, scope, and deliverables. This includes creating detailed test plans, test cases, and test scripts.
- Execute test cases, report defects, and ensure that all issues are resolved before deployment. This involves performing functional, integration, regression, and performance testing.
- Analyze data to identify trends, patterns, and insights that can be used to improve business processes and decision-making. This includes validating data accuracy, completeness, and consistency.
- Work closely with the MDM, RefData and DQDG team and other departments to ensure that the organization’s data needs are met. This includes coordinating with data stewards, data architects, and business analysts.
- Maintain detailed documentation of test cases, test results, and any issues encountered during testing. This includes creating test summary reports and defect logs.
- Develop and implement data quality metrics to ensure the accuracy and consistency of master data. This includes conducting regular data audits and implementing data cleansing processes.
- Ensure that all master data is compliant with data privacy and protection regulations. This includes adhering to industry standards and best practices for data management.
- Provide training and support to end-users to ensure proper use of MDM systems. This includes creating user manuals and conducting training sessions.
- Stay current on new technologies, validation trends, and industry best practices to improve validation efficiencies.
- Collaborate and communicate effectively with the product teams.
- Guiding junior testing team members on testing related activities.
What we expect of you
- Master’s degree with 4 - 6 years of experience in Business, Engineering, IT or related field
- OR Bachelor’s degree with 6 - 9 years of experience in Business, Engineering, IT or related field
- OR Diploma with 10 - 12 years of experience in Business, Engineering, IT or related field
- 6+ years of experience in MDM implementations, primarily with testing (pharmaceutical, biotech, medical devices, etc.)
Must-Have Skills
- Extensive experience on ETL/ELT and MDM testing (Creating test plan, test scripts and execution of test scripts and bugs tracking/reporting in JIRA)
- Informatica MDM: Proficiency in Informatica MDM Hub console, configuration, IDD (Informatica Data Director), IDQ, and data modeling or Reltio MDM: Experience with Reltio components, including data modeling, integration, validation, cleansing, and unification.
- Advanced SQL: Ability to write and optimize complex SQL queries, including subqueries, joins, and window functions.
- Data Manipulation: Skills in data transformation techniques like pivoting and unpivoting.
- Stored Procedures and Triggers: Proficiency in creating and managing stored procedures and triggers for automation.
- Python: Strong skills in using Python for data analysis, including libraries like Pandas and NumPy etc.
- Automation: Experience in automating tasks using Python scripts.
- Machine Learning: Basic understanding of machine learning concepts and libraries like scikit-learn.
- Strong problem-solving and analytical skills
- Excellent communication and teamwork skills
- ETL Processes: Knowledge of ETL processes for extracting, transforming, and loading data from various sources.
- Data Quality Management: Skills in data profiling and cleansing using tools like Informatica.
- Data Governance: Understanding of data governance frameworks and implementation.
- Data Stewardship: Ability to work with data stewards to enforce data policies and standards.
- Selenium: Experience with Selenium for automated testing of web applications.
- JIRA: Familiarity with JIRA for issue tracking and test case management.
- Postman: Skills in using Postman for API testing.
- Understanding of compliance and regulatory considerations in master data.
- In depth knowledge of GDPR and HIPPA guidelines.
- Strong analytical abilities to assess and improve master data processes and solutions.
- Excellent verbal and written communication skills, with the ability to convey complex data concepts clearly to technical and non-technical stakeholders.
- Effective problem-solving skills to address data-related issues and implement scalable solutions.
- Ability to work effectively with global, virtual teams
Locations
- Hyderabad, India
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
20,000 - 40,000 USD / yearly
Source: xAI estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Extensive experience on ETL/ELT and MDM testing (Creating test plan, test scripts and execution of test scripts and bugs tracking/reporting in JIRA)intermediate
- Informatica MDM: Proficiency in Informatica MDM Hub console, configuration, IDD (Informatica Data Director), IDQ, and data modeling or Reltio MDM: Experience with Reltio components, including data modeling, integration, validation, cleansing, and unification.intermediate
- Advanced SQL: Ability to write and optimize complex SQL queries, including subqueries, joins, and window functions.intermediate
- Data Manipulation: Skills in data transformation techniques like pivoting and unpivoting.intermediate
- Stored Procedures and Triggers: Proficiency in creating and managing stored procedures and triggers for automation.intermediate
- Python: Strong skills in using Python for data analysis, including libraries like Pandas and NumPy etc.intermediate
- Automation: Experience in automating tasks using Python scripts.intermediate
- Machine Learning: Basic understanding of machine learning concepts and libraries like scikit-learn.intermediate
- Strong problem-solving and analytical skillsintermediate
- Excellent communication and teamwork skillsintermediate
- ETL Processes: Knowledge of ETL processes for extracting, transforming, and loading data from various sources.intermediate
- Data Quality Management: Skills in data profiling and cleansing using tools like Informatica.intermediate
- Data Governance: Understanding of data governance frameworks and implementation.intermediate
- Data Stewardship: Ability to work with data stewards to enforce data policies and standards.intermediate
- Selenium: Experience with Selenium for automated testing of web applications.intermediate
- JIRA: Familiarity with JIRA for issue tracking and test case management.intermediate
- Postman: Skills in using Postman for API testing.intermediate
- Understanding of compliance and regulatory considerations in master data.intermediate
- In depth knowledge of GDPR and HIPPA guidelines.intermediate
- Strong analytical abilities to assess and improve master data processes and solutions.intermediate
- Excellent verbal and written communication skills, with the ability to convey complex data concepts clearly to technical and non-technical stakeholders.intermediate
- Effective problem-solving skills to address data-related issues and implement scalable solutions.intermediate
- Ability to work effectively with global, virtual teamsintermediate
Required Qualifications
- Master’s degree with 4 - 6 years of experience in Business, Engineering, IT or related field (experience)
- OR Bachelor’s degree with 6 - 9 years of experience in Business, Engineering, IT or related field (experience)
- OR Diploma with 10 - 12 years of experience in Business, Engineering, IT or related field (experience)
- 6+ years of experience in MDM implementations, primarily with testing (pharmaceutical, biotech, medical devices, etc.) (experience)
Responsibilities
- Develop and implement comprehensive testing strategies for MDM applications, including defining test objectives, scope, and deliverables. This includes creating detailed test plans, test cases, and test scripts.
- Execute test cases, report defects, and ensure that all issues are resolved before deployment. This involves performing functional, integration, regression, and performance testing.
- Analyze data to identify trends, patterns, and insights that can be used to improve business processes and decision-making. This includes validating data accuracy, completeness, and consistency.
- Work closely with the MDM, RefData and DQDG team and other departments to ensure that the organization’s data needs are met. This includes coordinating with data stewards, data architects, and business analysts.
- Maintain detailed documentation of test cases, test results, and any issues encountered during testing. This includes creating test summary reports and defect logs.
- Develop and implement data quality metrics to ensure the accuracy and consistency of master data. This includes conducting regular data audits and implementing data cleansing processes.
- Ensure that all master data is compliant with data privacy and protection regulations. This includes adhering to industry standards and best practices for data management.
- Provide training and support to end-users to ensure proper use of MDM systems. This includes creating user manuals and conducting training sessions.
- Stay current on new technologies, validation trends, and industry best practices to improve validation efficiencies.
- Collaborate and communicate effectively with the product teams.
- Guiding junior testing team members on testing related activities.
Tags & Categories
Software Development Engineer-Test II
Amgen
Software Development Engineer-Test II
Job Description
ABOUT AMGEN
What you will do
- Develop and implement comprehensive testing strategies for MDM applications, including defining test objectives, scope, and deliverables. This includes creating detailed test plans, test cases, and test scripts.
- Execute test cases, report defects, and ensure that all issues are resolved before deployment. This involves performing functional, integration, regression, and performance testing.
- Analyze data to identify trends, patterns, and insights that can be used to improve business processes and decision-making. This includes validating data accuracy, completeness, and consistency.
- Work closely with the MDM, RefData and DQDG team and other departments to ensure that the organization’s data needs are met. This includes coordinating with data stewards, data architects, and business analysts.
- Maintain detailed documentation of test cases, test results, and any issues encountered during testing. This includes creating test summary reports and defect logs.
- Develop and implement data quality metrics to ensure the accuracy and consistency of master data. This includes conducting regular data audits and implementing data cleansing processes.
- Ensure that all master data is compliant with data privacy and protection regulations. This includes adhering to industry standards and best practices for data management.
- Provide training and support to end-users to ensure proper use of MDM systems. This includes creating user manuals and conducting training sessions.
- Stay current on new technologies, validation trends, and industry best practices to improve validation efficiencies.
- Collaborate and communicate effectively with the product teams.
- Guiding junior testing team members on testing related activities.
What we expect of you
- Master’s degree with 4 - 6 years of experience in Business, Engineering, IT or related field
- OR Bachelor’s degree with 6 - 9 years of experience in Business, Engineering, IT or related field
- OR Diploma with 10 - 12 years of experience in Business, Engineering, IT or related field
- 6+ years of experience in MDM implementations, primarily with testing (pharmaceutical, biotech, medical devices, etc.)
Must-Have Skills
- Extensive experience on ETL/ELT and MDM testing (Creating test plan, test scripts and execution of test scripts and bugs tracking/reporting in JIRA)
- Informatica MDM: Proficiency in Informatica MDM Hub console, configuration, IDD (Informatica Data Director), IDQ, and data modeling or Reltio MDM: Experience with Reltio components, including data modeling, integration, validation, cleansing, and unification.
- Advanced SQL: Ability to write and optimize complex SQL queries, including subqueries, joins, and window functions.
- Data Manipulation: Skills in data transformation techniques like pivoting and unpivoting.
- Stored Procedures and Triggers: Proficiency in creating and managing stored procedures and triggers for automation.
- Python: Strong skills in using Python for data analysis, including libraries like Pandas and NumPy etc.
- Automation: Experience in automating tasks using Python scripts.
- Machine Learning: Basic understanding of machine learning concepts and libraries like scikit-learn.
- Strong problem-solving and analytical skills
- Excellent communication and teamwork skills
- ETL Processes: Knowledge of ETL processes for extracting, transforming, and loading data from various sources.
- Data Quality Management: Skills in data profiling and cleansing using tools like Informatica.
- Data Governance: Understanding of data governance frameworks and implementation.
- Data Stewardship: Ability to work with data stewards to enforce data policies and standards.
- Selenium: Experience with Selenium for automated testing of web applications.
- JIRA: Familiarity with JIRA for issue tracking and test case management.
- Postman: Skills in using Postman for API testing.
- Understanding of compliance and regulatory considerations in master data.
- In depth knowledge of GDPR and HIPPA guidelines.
- Strong analytical abilities to assess and improve master data processes and solutions.
- Excellent verbal and written communication skills, with the ability to convey complex data concepts clearly to technical and non-technical stakeholders.
- Effective problem-solving skills to address data-related issues and implement scalable solutions.
- Ability to work effectively with global, virtual teams
Locations
- Hyderabad, India
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
20,000 - 40,000 USD / yearly
Source: xAI estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Extensive experience on ETL/ELT and MDM testing (Creating test plan, test scripts and execution of test scripts and bugs tracking/reporting in JIRA)intermediate
- Informatica MDM: Proficiency in Informatica MDM Hub console, configuration, IDD (Informatica Data Director), IDQ, and data modeling or Reltio MDM: Experience with Reltio components, including data modeling, integration, validation, cleansing, and unification.intermediate
- Advanced SQL: Ability to write and optimize complex SQL queries, including subqueries, joins, and window functions.intermediate
- Data Manipulation: Skills in data transformation techniques like pivoting and unpivoting.intermediate
- Stored Procedures and Triggers: Proficiency in creating and managing stored procedures and triggers for automation.intermediate
- Python: Strong skills in using Python for data analysis, including libraries like Pandas and NumPy etc.intermediate
- Automation: Experience in automating tasks using Python scripts.intermediate
- Machine Learning: Basic understanding of machine learning concepts and libraries like scikit-learn.intermediate
- Strong problem-solving and analytical skillsintermediate
- Excellent communication and teamwork skillsintermediate
- ETL Processes: Knowledge of ETL processes for extracting, transforming, and loading data from various sources.intermediate
- Data Quality Management: Skills in data profiling and cleansing using tools like Informatica.intermediate
- Data Governance: Understanding of data governance frameworks and implementation.intermediate
- Data Stewardship: Ability to work with data stewards to enforce data policies and standards.intermediate
- Selenium: Experience with Selenium for automated testing of web applications.intermediate
- JIRA: Familiarity with JIRA for issue tracking and test case management.intermediate
- Postman: Skills in using Postman for API testing.intermediate
- Understanding of compliance and regulatory considerations in master data.intermediate
- In depth knowledge of GDPR and HIPPA guidelines.intermediate
- Strong analytical abilities to assess and improve master data processes and solutions.intermediate
- Excellent verbal and written communication skills, with the ability to convey complex data concepts clearly to technical and non-technical stakeholders.intermediate
- Effective problem-solving skills to address data-related issues and implement scalable solutions.intermediate
- Ability to work effectively with global, virtual teamsintermediate
Required Qualifications
- Master’s degree with 4 - 6 years of experience in Business, Engineering, IT or related field (experience)
- OR Bachelor’s degree with 6 - 9 years of experience in Business, Engineering, IT or related field (experience)
- OR Diploma with 10 - 12 years of experience in Business, Engineering, IT or related field (experience)
- 6+ years of experience in MDM implementations, primarily with testing (pharmaceutical, biotech, medical devices, etc.) (experience)
Responsibilities
- Develop and implement comprehensive testing strategies for MDM applications, including defining test objectives, scope, and deliverables. This includes creating detailed test plans, test cases, and test scripts.
- Execute test cases, report defects, and ensure that all issues are resolved before deployment. This involves performing functional, integration, regression, and performance testing.
- Analyze data to identify trends, patterns, and insights that can be used to improve business processes and decision-making. This includes validating data accuracy, completeness, and consistency.
- Work closely with the MDM, RefData and DQDG team and other departments to ensure that the organization’s data needs are met. This includes coordinating with data stewards, data architects, and business analysts.
- Maintain detailed documentation of test cases, test results, and any issues encountered during testing. This includes creating test summary reports and defect logs.
- Develop and implement data quality metrics to ensure the accuracy and consistency of master data. This includes conducting regular data audits and implementing data cleansing processes.
- Ensure that all master data is compliant with data privacy and protection regulations. This includes adhering to industry standards and best practices for data management.
- Provide training and support to end-users to ensure proper use of MDM systems. This includes creating user manuals and conducting training sessions.
- Stay current on new technologies, validation trends, and industry best practices to improve validation efficiencies.
- Collaborate and communicate effectively with the product teams.
- Guiding junior testing team members on testing related activities.
Tags & Categories