Genpact Master Data Specialist Interview Questions and Answers

I manage and fulfill my role by prioritizing tasks, collaborating with team members, and continuously improving processes.

• Prioritize tasks based on deadlines and importance

• Collaborate with team members to ensure smooth workflow

• Continuously improve processes to increase efficiency and accuracy

As an MDM analyst, my day to day activities involve managing master data, ensuring data quality, collaborating with stakeholders, and implementing data governance policies.

• Managing master data by creating, updating, and deleting records

• Ensuring data quality by conducting data profiling and cleansing activities

• Collaborating with stakeholders from different departments to gather data requirements

• Implementing data governa...read more

Yes, I am proficient in coding in SQL.

• I have experience writing complex SQL queries to extract and manipulate data.

• I can create stored procedures, functions, and triggers in SQL.

• I am familiar with optimizing SQL queries for performance.

• I have worked with databases such as MySQL, Oracle, and SQL Server.

I use Python for data analysis, automation, web development, and machine learning projects.

• Data analysis: Using pandas and numpy libraries for data manipulation and analysis.

• Automation: Writing scripts to automate repetitive tasks using libraries like os and shutil.

• Web development: Building web applications using frameworks like Django or Flask.

• Machine learning: Implementing machine learning algorithms with libraries l

EPIC is a large body of work that can be broken down into smaller, more manageable pieces called stories.

• EPIC is a high-level requirement that is too large to be completed in a single iteration.

• Stories are smaller, more detailed requirements that can be completed within a single iteration.

• EPICs are typically broken down into stories during the backlog grooming process.

• Stories are usually written from the perspective of...read more

Story points are arrived at through collaborative effort of the team based on complexity, effort, and risk involved in a user story.

• Discuss the user story with the team to understand the requirements and potential challenges

• Break down the user story into tasks and estimate the effort required for each task

• Consider factors like complexity, uncertainty, dependencies, and risks involved in completing the user story

• Use a s...read more

Team velocity is a measure of the amount of work a team can complete in a sprint.

• Team velocity is calculated by summing up the story points completed in a sprint.

• It helps the team understand how much work they can realistically accomplish in future sprints.

• Velocity is used for sprint planning and forecasting project timelines.

• It is not a measure of individual productivity but rather the team's overall capacity.

• For exam...read more

Major challenges faced include communication issues, changing requirements, team dynamics, and stakeholder management.

• Communication issues between team members and stakeholders can lead to misunderstandings and delays.

• Changing requirements can disrupt project timelines and require frequent adjustments.

• Team dynamics such as conflicts or lack of collaboration can impact productivity and morale.

• Stakeholder management invo...read more

The Agile Manifesto talks about the anti-pattern of excessive documentation.

• The Agile Manifesto values 'Working software over comprehensive documentation'.

• This principle emphasizes the importance of focusing on delivering working software rather than spending excessive time on documentation.

• Excessive documentation can lead to delays, miscommunication, and reduced flexibility in responding to change.

• Teams should aim to ...read more

CI/CD process automates software delivery and deployment

• Continuous Integration (CI) involves developers regularly merging their code changes into a shared repository

• Continuous Deployment (CD) automates the deployment of code changes to production after passing automated tests

• CI/CD pipelines use tools like Jenkins, GitLab CI/CD, or GitHub Actions to automate the process

• Benefits include faster delivery, reduced errors, a