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Data Modeller – GCP & Cloud Databases

6 - 9 years

0 Lacs

Chennai Tamil Nadu India

Posted:1 week ago| Platform: Linkedin logo

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Skills Required

data gcp architecture olap engineering analytics design logical reporting support indexing sharding strategies query collaborative documentation database tuning sql normalization denormalization etl orchestration communication drive

Work Mode

On-site

Job Type

Contractual

Job Description

Job Title:

Data Modeller – GCP & Cloud Databases

Location:

Chennai (Work From Office)

Experience Required:

6 to 9 Years

Role Overview

We are looking for a hands-on Data Modeller with strong expertise in cloud-based databases, data architecture, and modeling for OLTP and OLAP systems. You will work closely with engineering and analytics teams to design and optimize conceptual, logical, and physical data models, supporting both operational systems and near real-time reporting pipelines.

Key Responsibilities

  • Design conceptual, logical, and physical data models for OLTP and OLAP systems
  • Develop and refine models that support performance-optimized cloud data pipelines
  • Collaborate with data engineers to implement models in BigQuery, CloudSQL, and AlloyDB
  • Design schemas and apply indexing, partitioning, and data sharding strategies
  • Translate business requirements into scalable data architecture and schemas
  • Optimize for near real-time ingestion, transformation, and query performance
  • Use tools such as DBSchema or similar for collaborative modeling and documentation
  • Create and maintain metadata and documentation around models

Must-Have Skills

  • Hands-on experience with GCP databases: BigQuery, CloudSQL, AlloyDB
  • Strong understanding of OLTP vs OLAP systems and respective design principles
  • Experience in database performance tuning: indexing, sharding, and partitioning
  • Skilled in modeling tools such as DBSchema, ERWin, or similar
  • Understanding of variables that impact performance in real-time/near real-time systems
  • Proficient in SQL, schema definition, and normalization/denormalization techniques

Preferred Skills

  • Functional knowledge of the Mutual Fund or BFSI domain
  • Experience integrating with cloud-native ETL and data orchestration pipelines
  • Familiarity with schema version control and CI/CD in a data context

Soft Skills

  • Strong analytical and communication skills
  • Detail-oriented and documentation-focused
  • Ability to collaborate across engineering, product, and analytics teams

Why Join

  • Work on enterprise-scale cloud data architectures
  • Drive performance-first data modeling for advanced analytics
  • Collaborate with high-performing cloud-native data teams
Skills: olap,normalization,indexing,gcp databases,sharding,olap systems,modeling,schema definition,sql,data,oltp systems,alloydb,erwin,modeling tools,bigquery,database performance tuning,databases,partitioning,denormalization,dbschema,cloudsql

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