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)
🏢 Tata Consultancy Services
📍 Chennai