Narayana Health Interview Questions and Answers

I ensure proper data management through a systematic approach.

• Identify data sources and stakeholders

• Establish data quality standards and policies

• Implement data governance framework

• Ensure data security and privacy

• Regularly monitor and audit data

• Continuously improve data management processes

We use Collibra as our Data Governance tool.

• Collibra is a popular Data Governance tool used by many organizations.

• It helps in managing data assets, data quality, and data privacy.

• Collibra provides a centralized platform for data governance and collaboration.

• It also offers features like data lineage, data cataloging, and data stewardship.

• Collibra integrates with various data sources and tools like Tableau, Informatica, etc.

Implementing a Data Governance framework involves defining policies, procedures, and roles to manage data assets.

• Identify stakeholders and their roles in data governance

• Define policies and procedures for data management

• Establish data quality standards and metrics

• Implement data security and privacy measures

• Create a data catalog and inventory

• Monitor and enforce compliance with data governance policies

• Continuously review and improve the data governance framework

I have worked in various domains including finance, healthcare, and retail.

• Worked as a data steward in a finance company, ensuring data accuracy and compliance with regulations.

• Managed data for a healthcare organization, ensuring patient privacy and security.

• Worked with retail data to analyze customer behavior and improve sales strategies.

We use Apache NiFi for our data processing pipelines.

• Apache NiFi is an open-source tool for automating and managing data flows between systems.

• It provides a web-based interface for designing, building, and monitoring data pipelines.

• NiFi supports a wide range of data sources and destinations, including databases, Hadoop, and cloud services.

• It also has built-in security and data provenance features.

• Some examples of our NiFi pipelines include ingesting data from IoT devices and ...read more

Setting up a Data Quality workflow involves defining standards, identifying data sources, and implementing data cleansing processes.

• Define data quality standards and metrics

• Identify data sources and assess their quality

• Implement data cleansing processes

• Establish data governance policies and procedures

• Monitor and measure data quality over time