Tech Lead – Data Modeler

Jobtailor; Hyderabad; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Jobtailor in Hyderabad, India, seeks an experienced Data Modeler to design, implement, and optimize data models for business requirements. The role collaborates with data owners, end users, and architects to ensure scalable and high-performance models, with responsibility for data dictionaries and flow diagrams.

Strong SQL, data warehousing, and cloud experience are essential. The ideal candidate will have 6+ years in data modeling, proficiency in ERwin/ER/Studio, and knowledge of AWS/Azure,

Qualifications

• Minimum 6 years of experience in data modeling techniques and methodologies.
• Expertise in data modeling techniques and methodologies.
• Strong understanding of database design principles and data normalization.
• Experience with ERwin or ER/Studio.
• Proficiency in SQL.
• Experience with Oracle, SQL Server, or MySQL.
• Experience with data warehousing and ETL processes.
• Familiarity with NoSQL databases such as MongoDB or Cassandra.
• Experience with cloud-based data solutions such as AWS or Azure.
• Knowledge of MS Fabric, Azure Data Factory, and Databricks.
• Knowledge of data governance and data quality best practices.
• Experience with Agile development methodologies.
• Excellent communication and collaboration skills.
• Strong educational background in computer science, information systems, or a related field.

Responsibilities

• Design and implement data models that meet business requirements using Data Modeling Techniques.
• Collaborate with business representatives, data owners, end users, and architects to model data.
• Ensure data models are scalable, maintainable, and optimized for performance.
• Develop and maintain data dictionaries, data flow diagrams, and other data-modeling documentation.
• Provide guidance and support to development teams on data-modeling best practices and standards.

Skills

Data Modeling Techniques

Database Design Principles

SQL Proficiency

Data Warehousing

Cloud-Based Data Solutions

Agile Development Methodologies

Communication

Collaboration Skills

Education

Bachelor's degree in Computer Science / Information Systems

Tools

ERwin

ER/Studio

Oracle

SQL Server

MySQL

MongoDB

Cassandra

AWS

Azure

MS Fabric

Job description

• Design and implement data models that meet business requirements using Data Modeling Techniques and Methodologies
• Collaborate with key business representatives, data owners, end users, application designers, and data architects to model current and new data
• Ensure data models are scalable, maintainable, and optimized for performance
• Develop and maintain data dictionaries, data flow diagrams, and other data-modeling documentation
• Provide guidance and support to development teams on data-modeling best practices and standards

Requirements

• Minimum 6 years of experience in Data Modeling Techniques and Methodologies
• Expertise in Data Modeling Techniques and Methodologies
• Strong understanding of database design principles and data normalization
• Experience with data modeling tools such as ERwin or ER/Studio
• Proficiency in SQL
• Experience with database management systems such as Oracle, SQL Server, or MySQL
• Experience with data warehousing and ETL processes
• Familiarity with NoSQL databases such as MongoDB or Cassandra
• Experience with cloud-based data solutions such as AWS or Azure
• Knowledge of MS Fabric, Azure Data Factory, and Databricks
• Knowledge of data governance and data quality best practices
• Experience with Agile development methodologies
• Excellent communication and collaboration skills
• Strong educational background in computer science, information systems, or a related field

Core Competencies

Demonstrates expertise in Data Modeling Techniques and Methodologies, with a strong understanding of database design principles and data normalization. Proficient in SQL and experienced with data warehousing, ETL processes, and cloud-based data solutions.

Highest-signal resume keywords

• Data Modeling Techniques
• Database Design Principles
• SQL Proficiency
• Data Warehousing
• Cloud-Based Data Solutions

Hard Skills

• Data Modeling Techniques
• Database Design Principles
• SQL
• Data Warehousing
• ETL Processes
• NoSQL Databases
• Data Governance
• Data Quality Best Practices
• Agile Development Methodologies
• Data Normalization

Soft Skills

• Excellent Communication
• Collaboration Skills

Industry Keywords

• Data Modeling
• Data Flow Diagrams
• Data Dictionaries
• Data Architecture
• Data Quality

Tools & Technologies

• ERwin
• ER/Studio
• Oracle
• SQL Server
• MySQL
• MongoDB
• Cassandra
• AWS
• Azure
• MS Fabric