Consultant - Data Modeler

Mancer Consulting Services; Hyderabad; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Mancer Consulting Services is seeking an Architect to oversee enterprise-wide data modeling initiatives and lead scalable data model development for enterprise applications.

You will define standards for schema evolution, governance and security controls, build automation for data modeling, and ensure data quality through metadata management and validation processes.

Qualifications

• Architect and oversee enterprise-wide data modeling initiatives.
• Define data modeling standards and frameworks for the organization.
• Work with stakeholders to implement data governance and security controls.
• Participate in code reviews and provide feedback on SQL queries and ETL pipelines.
• Build automated validation processes for data integrity checks.

Responsibilities

• Lead the development of scalable data models for enterprise applications.
• Develop data modeling automation frameworks to enhance consistency.
• Implement advanced metadata management and data quality monitoring.
• Define data transformation requirements and implement efficient solutions.
• Ensure data governance and security best practices are followed.

Skills

Data modeling

Data governance

SQL

ETL pipelines

Data quality monitoring

Metadata management

Data security

Code reviews

Data transformation

Job description

Architect and oversee enterprise-wide data modeling initiatives

Lead the development of scalable data models for enterprise applications

Develop and enforce best practices for schema evolution and data interoperability

Define data modeling standards and frameworks for the organization

Work with stakeholders to implement data governance and security controls

Perform advanced data analysis to inform design decisions and ensure alignment with business needs.

Create logical data models or object models of moderate complexity to address business challenges.

Develop data modeling automation frameworks to enhance consistency

Implement advanced metadata management and data quality monitoring

Define data transformation requirements and implement efficient solutions.

Implement enterprise data management practices, standards, and frameworks for Data Integration

Ensure data governance and security best practices are followed

Participate in code reviews and provide feedback on SQL queries and ETL pipelines

Build automated validation processes for data integrity checks