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4 days ago
HCLTech·IT Services·4 days ago
4 days ago

Technical Lead

Senior · 6-10 years

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About this role

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.

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