Data Steward
Data Steward Interview Questions and Answers
Q1. What steps do you take from start to end to ensure proper data management is achieved?
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
Q2. Which Data Governance tool do you use in your current org?
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.
Q3. How would you implement a Data Governance framework?
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
Q4. How do you set Data Quality workflow in place?
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
Q5. What data processing pipelines tool do you use?
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
Q6. Which domain have you worked on?
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.
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Q7. How do you do Data Catalog and Lineage?
Data catalog and lineage are done through metadata management and tracking data flow.
Create a metadata repository to store information about data sources, data types, and data lineage.
Track data flow through the use of data lineage tools and techniques such as data mapping and data profiling.
Ensure data quality by implementing data governance policies and procedures.
Regularly update the metadata repository to reflect changes in data sources and data flow.
Examples of data line...read more
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