Live opening · Posted 12 hours ago

Collibra Data Governance Engineer

EliteSquad.AI · India (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 12 hours ago
CompanyEliteSquad.AI
LocationIndia (Remote)
Work modeYes
SkillsPython, AWS, Azure, PostgreSQL, MySQL
SourceLinkedin
ListedPosted 12 hours ago

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About the role

Description supplied by the original job listing.

Collibra Data Governance Engineer
Remote
Experience: 8+ Years
Share your cv at SANJAY.C@ELITESQUAD.AI
While Collibra experience remains highly desirable, the requirement should not be limited to pure Collibra specialists.
We are looking for a skilled professional with experience in Collibra Data Intelligence Cloud, Data Governance, Platform Administration, and Data Integration. The ideal candidate should have strong SQL skills, experience troubleshooting platform and connectivity issues, and knowledge of metadata management, data lineage, data quality, and workflow automation.
The candidate should be comfortable working with databases, cloud platforms, and data governance tools to support platform operations, resolve technical issues, and maintain data quality and governance standards.
Key Responsibilities
Platform Support & Troubleshooting: Administer and support the data governance platform, troubleshoot platform issues, resolve metadata ingestion failures, and address connector-related problems.
Database Connectivity: Configure, monitor, and troubleshoot database connectivity using JDBC and ODBC.
Database Management: Work with SQL Server, Oracle, PostgreSQL, MySQL, and Amazon Redshift databases.
Workflow Automation: Configure, maintain, and troubleshoot approval workflows, issue management workflows, and other automated processes.
SQL Programming: Write, execute, and troubleshoot SQL queries to support platform operations, data analysis, and issue resolution.
Data Quality Management: Implement data quality rules, perform data profiling and monitoring, and maintain data quality dashboards.
Data Governance: Support data governance initiatives using Collibra or other data governance platforms.
Metadata Management: Manage metadata harvesting, metadata ingestion, technical metadata, and business metadata.
Data Lineage: Maintain end-to-end, business, and technical data lineage; support source-to-target mapping and impact analysis.
Integration: Work with REST APIs, JSON, and web services to support integrations between systems.
Cloud Platform Support: Work with AWS services to support data integration, metadata management, and governance operations.
Security & Access Management: Support identity and access management, data access controls, and data privacy requirements.
Version Control & DevOps: Use source control tools and CI/CD pipelines to support development, configuration management, and deployment activities.
Required Skills and Qualifications
The following skills are mandatory for the role:
1. Platform Support & Troubleshooting
Platform administration and support.
Issue identification and resolution.
Metadata ingestion troubleshooting.
Connector troubleshooting.
2. Connectivity
JDBC.
ODBC.
Database connectivity configuration and troubleshooting.
3. Database Technologies
Hands-on experience with one or more of the following databases:
Microsoft SQL Server.
Oracle.
PostgreSQL.
MySQL.
Amazon Redshift.
4. Workflow Automation
Approval workflows.
Issue management workflows.
Workflow troubleshooting and maintenance.
5. SQL Programming
Strong SQL programming skills.
SQL query development and troubleshooting.
Strongly Preferred Skills
Data Quality
Understanding of data quality concepts and processes.
Collibra Data Quality (UDQ).
Data quality rules and profiling.
Data quality monitoring.
Data quality dashboards.
Preferred Skills and Technologies
1. Data Governance Platforms
Experience with Collibra Data Intelligence Cloud or another data governance platform.
2. Collibra Modules
Experience with the following Collibra modules and capabilities:
Data Catalog.
Business Glossary.
Data Lineage.
Data Quality.
3. Collibra Administration
Asset types.
Domains.
Communities.
Responsibilities.
Operating models.
Workflows.
4. Metadata Management
Metadata harvesting.
Metadata ingestion.
Technical metadata management.
Business metadata management.
5. Data Lineage
End-to-end data lineage.
Business lineage.
Technical lineage.
Source-to-target mapping.
Impact analysis.
6. Integration Technologies
REST APIs.
JSON.
Web services.
7. Cloud Platforms
Amazon Web Services (AWS).
8. AWS Services
Experience with the following AWS services:
Amazon S3.
AWS Glue.
Amazon Redshift.
Amazon Athena.
AWS Identity and Access Management (IAM).
9. Security
Identity and Access Management (IAM).
Data access controls.
Data privacy.
Nice-to-Have Skills
Candidates with the following additional skills will be preferred:
Programming
Python.
Groovy.
Source Control
Git.
GitHub.
Azure DevOps.
DevOps
Continuous Integration and Continuous Deployment (CI/CD) pipelines.
Additional Collibra Experience
Policy Manager.
Marketplace.
Dashboard.
Data Helpdesk.

Work arrangement
Yes

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