We are looking for an experienced Data Modeler (Teradata + OLAP) to lead enterprise-scale data modeling initiatives. The role demands strong expertise in OLAP data modeling, Teradata data warehouse design, and close collaboration with business, analytics, and ETL teams to deliver high-performance analytical solutions.
Key Responsibilities
Lead conceptual, logical, and physical data modeling for OLAP and enterprise data warehouse solutions on Teradata.
Design and optimize dimensional models (Star / Snowflake schemas) for large-scale analytical and reporting use cases.
Translate complex business requirements into scalable and highperforming data models. Work closely with ETL developers, BI/reporting teams, and data architects to ensure end-to-end data consistency.
Drive performance tuning, including indexing strategies, partitioning, and query optimization. Ensure adherence to data standards, governance, naming conventions, and documentation (data dictionaries, metadata).
Perform data model reviews and provide technical guidance/mentorship to junior modelers.
Support stakeholder discussions and participate in technical design reviews.
Required Skills & Qualifications
Strong expertise in Teradata data modeling with hands-on experience in large enterprise environments.
Proven experience in OLAP data modeling, dimensional modeling, and data warehousing concepts.
Deep understanding of Star / Snowflake schemas, facts, dimensions, SCDs. Excellent SQL proficiency on Teradata.
Experience working closely with BI tools and reporting layers. Familiarity with performance tuning techniques in analytical databases.
Experience with data modeling tools such as Erwin / ER Studio / equivalent.
Solid analytical, problem-solving, and stakeholder communication skills.
Good to Have Exposure to Data Warehousing / Analytics / Enterprise Reporting projects.
Experience in onsite or tightly governed delivery environments.
Prior experience leading small teams or acting as module/technical lead.
📌 Data Modeller (Delhi)
🏢 LTM
📍 Delhi
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