Data Modeler

Job Title: Data Modeler Key Responsibilities As a Data Modeler, you will: Data Model Design: Perform hands-on data modeling for both OLTP (Online Transaction Processing) and OLAP (Online Analytical Processing) systems, covering Conceptual, Logical, and Physical data modeling. Database Performance Optimization: Apply a strong understanding of indexing, partitioning, and data sharding, with practical experience, to optimize database performance, especially for near-real-time reporting and application interaction. Tool Utilization: Work with at least one data modeling tool, preferably DBSchema or Erwin. GCP Database Understanding: Leverage a good understanding of GCP databases like AlloyDB, CloudSQL, and BigQuery. Collaboration: (Implied) Collaborate with teams to understand requirements and translate them into data models. Mandatory Skills & Experience Technical Proficiency: Data Modeling: Hands-on experience in data modeling for OLTP and OLAP systems . Modeling Concepts: In-depth knowledge of Conceptual, Logical, and Physical data modeling . Database Performance: Strong understanding of indexing, partitioning, data sharding , with practical experience. Performance Variables: Strong understanding of variables impacting database performance for near-real-time reporting and application interaction. Modeling Tools: Working experience on at least one data modeling tool, preferably DBSchema or Erwin . GCP Databases: Good understanding of GCP databases like AlloyDB, CloudSQL, and BigQuery . Experience & Qualifications: Demonstrated experience in applying database optimization techniques (indexing, partitioning, sharding). Essential Professional Skills Domain Knowledge (Plus): Functional knowledge of the mutual fund industry will be a plus.