Data Governance (India)

Data Governance (India)

15 Oct
|
Sourcebae
|
India

15 Oct

Sourcebae

India

Role - Collibra Data Governance

Experience - 8-10 years

Location - Remote

Summary : We are looking for a skilled skilled 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.

Note: While Collibra experience remains highly desirable, the requirement should not be limited to pure Collibra specialists.

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.

1. Connectivity

JDBC. ODBC.

Database connectivity configuration and troubleshooting.

1. Database Technologies

Hands-on experience with one or more of the following databases:



Microsoft SQL Server.

Oracle.

PostgreSQL.

MySQL.

Amazon Redshift.

1. Workflow Automation

Approval workflows. Issue management workflows.

Workflow troubleshooting and maintenance.

1. 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.
1. Collibra Modules

Experience with the following Collibra modules and capabilities: Data Catalog.

Business Glossary.

Data Lineage.

Data Quality.

1. Collibra Administration

Asset types. Domains.

Communities.

Responsibilities.

Operating models.

Workflows.

1. Metadata Management

Metadata harvesting. Metadata ingestion.

Technical metadata management.

Business metadata management.

1. Data Lineage

End-to-end data lineage. Business lineage.

Technical lineage.

Source-to-target mapping.

Impact analysis.

1. Integration Technologies

REST APIs. JSON.

Web services.

1. Cloud Platforms

Amazon Web Services (AWS).
1. AWS Services

Experience with the following AWS services: Amazon S3.

AWS Glue.

Amazon Redshift.

Amazon Athena.

AWS Identity and Access Management (IAM).

1. Security

Identity and Access Management (IAM). Data access controls.

Data privacy.

📌 Data Governance (India)
🏢 Sourcebae
📍 India

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