Key Responsibilities
Design, develop, and maintain analytics-ready data models and datasets on GCP.
Transform raw enterprise data into clean, scalable, and reusable business data layers.
Build and optimize ELT pipelines using up-to-date cloud-based technologies.
Partner with business stakeholders, data analysts, data engineers, and data scientists to define reporting and analytics requirements.
Develop dimensional models, data marts, and semantic layers to support enterprise reporting.
Ensure data quality, governance, consistency, and business rule standardization.
Improve performance and cost efficiency of analytics workloads within BigQuery.
Support BI and visualization tools by providing curated datasets and metrics.
Create and maintain data dictionaries, metadata repositories, and business glossaries.
Enable self-service analytics capabilities across business functions.




Collaborate with engineering teams to improve data architecture and scalability.

Key Technical Responsibilities

Google Cloud Platform (GCP)
BigQuery
Cloud Storage
Dataflow
Dataplex
Cloud Composer
Pub/Sub
BigLake
Vertex AI (Exposure Preferred)

Analytics Engineering
Data Modeling
Dimensional Modeling
Star Schema
Snowflake Schema
Data Mart Development
Semantic Layer Design
Metrics Definition Framework
Data Transformation
Data Validation & Reconciliation

Business Intelligence & Reporting
Looker
Looker Studio
Tableau
Power BI
Business Reporting Frameworks
KPI Development
Executive Dashboards
Self-Service Analytics

📌 Gcp Analytical Engineer S Chennai (India)
🏢 Tata Consultancy Services
📍 India