Technical Lead
India
Job Description
Technical Lead
| Chennai, Tamil NaduBengaluru, Karnataka

Job Summary

Job Title - Data Modeler

Experience - 8-12 Years

Relevant Experience - 5+ Years

Location – Bengaluru and Chennai

Key Responsibilities

•            Create and maintain ER diagrams, data dictionaries, metadata repositories, and mapping documents.

•            Work closely with Business Analysts, Data Architects, ETL Developers, and Project Teams to gather and analyze data requirements.

•            Design dimensional models including Star Schema and Snowflake Schema for analytics and reporting solutions.

•            Support ETL development teams by defining source-to-target mappings and validating transformation logic.

•            Ensure compliance with data governance standards, naming conventions, and best practices.

Mandatory Skills

•            Strong hands-on experience in Data Modeling and Database Design.

•            Strong experience in Data Warehouse Modeling, Dimensional Modeling, Star Schema, and Snowflake Schema design.

•            Experience with ERwin Data Modeler or equivalent data modeling tools.

•            Experience in creating ER Diagrams, Data Dictionaries, Metadata Repositories and Source-to-Target Mapping documents.

•            Experience in optimizing data models for query performance for large-volume transactional/data warehouse environments.

•            Good knowledge of RDBMS/NoSql database platforms and cloud planform such as:

o            Oracle/SQL Server/PostgreSQL

o            AWS/Azure/GCP

•            Experience with modern data warehouse platforms:

o            Snowflake/Redshift/BigQuery/Databricks

Preferred Skills

•            Strong SQL and data analysis skills.

•            Experience in data migration and modernization projects.

•            Knowledge of ETL tools such as Informatica, Talend, DataStage, SSIS, or Azure Data Factory.

•            Understanding of Lakehouse Architecture and Modern Data Platforms.

•            Experience with OLTP and OLAP environments.

•            Exposure to Data Governance, Data Quality, and Metadata Management solutions.

Nice to Have

•            Exposure to data migration and cloud modernization projects.

•            Understanding of Data Mesh, Lakehouse, and Modern Data Architecture concepts.

 

Key Responsibilities

Create and maintain ER diagrams, data dictionaries, metadata repositories, and mapping documents.

•            Work closely with Business Analysts, Data Architects, ETL Developers, and Project Teams to gather and analyze data requirements.

•            Design dimensional models including Star Schema and Snowflake Schema for analytics and reporting solutions.

•            Support ETL development teams by defining source-to-target mappings and validating transformation logic.

•            Ensure compliance with data governance standards, naming conventions, and best practices.

Skill Requirements

•            Strong hands-on experience in Data Modeling and Database Design.

•            Strong experience in Data Warehouse Modeling, Dimensional Modeling, Star Schema, and Snowflake Schema design.

•            Experience with ERwin Data Modeler or equivalent data modeling tools.

•            Experience in creating ER Diagrams, Data Dictionaries, Metadata Repositories and Source-to-Target Mapping documents.

•            Experience in optimizing data models for query performance for large-volume transactional/data warehouse environments.

•            Good knowledge of RDBMS/NoSql database platforms and cloud planform such as:

o            Oracle/SQL Server/PostgreSQL

o            AWS/Azure/GCP

•            Experience with modern data warehouse platforms:

o            Snowflake/Redshift/BigQuery/Databricks

Other Requirements

•            Strong SQL and data analysis skills.

•            Experience in data migration and modernization projects.

•            Knowledge of ETL tools such as Informatica, Talend, DataStage, SSIS, or Azure Data Factory.

•            Understanding of Lakehouse Architecture and Modern Data Platforms.

•            Experience with OLTP and OLAP environments.

•            Exposure to Data Governance, Data Quality, and Metadata Management solutions.

Information at a Glance

Why HCLTech?

At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first.

HCLTech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending June 2026 totaled $14.8 billion.