Gcp Data Engineer

Virtusa; Pune District; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

Virtusa in Pune is seeking a GCP Data Engineer to design and implement data models and architecture patterns across our Enterprise Data platform. You will collaborate with principal architects, data engineers, and software engineers to deliver well-modeled, governed data solutions and to build deep data modeling and cloud architecture expertise.

You will also mentor junior data engineers, contribute to governance standards, and help shape our platform's data strategies using GCP.

Qualifications

• 4+ years of experience in data architecture, data modeling, or data engineering roles.
• Strong experience with data modeling across relational, dimensional, and analytical schemas.
• Strong experience with SQL for complex data manipulation and optimization.
• Strong experience with Python for prototyping and automation.
• Experience designing and implementing data solutions on Google Cloud Platform (GCP).
• Understanding of data warehousing, data lakes, and lakehouse patterns.
• Experience contributing to data governance, cataloging, and lineage practices.
• Experience collaborating with engineering and business stakeholders on data requirements.
• Strong communication skills, with the ability to document and present data models and design decisions.

Responsibilities

• Design and implement conceptual, logical, and physical data models across transactional, analytical, and lakehouse environments.
• Design and build data architecture solutions on Google Cloud Platform (GCP).
• Contribute to data governance, cataloging, and lineage standards.
• Apply data modeling best practices across relational, dimensional, and analytical schemas.
• Write and review Python and SQL to prototype, validate, and optimize data solutions.
• Collaborate with Data Engineering and Software Engineering teams to align architecture with platform needs.
• Participate in architectural reviews and provide input on complex data design decisions.
• Document data models, architecture decisions, and standards for broader engineering teams.
• Mentor junior data engineers on data modeling practices.

Skills

Data modeling

SQL

Python

GCP

Data architecture

Communication

Mentor junior engineers

Tools

Erwin

ER/Studio

TOAD Data Modeler

DBML

dbt Core

Parquet

Kafka

Job description

We are hiring for "GCP Data Engineer" at Virtusa.

Position summary

The Senior Data Architect (P3) is a strong individual contributor responsible for designing and implementing data models and architecture patterns across Wiley's Enterprise Data platform.

You will work closely with Principal architects, data engineers, and software engineers to deliver well-

modeled, governed data solutionsbuilding deep data modeling and cloud architecture expertise while

contributing to the standards that shape our platform.

Key responsibilities

• Design and implement conceptual, logical, and physical data models spanning transactional, analytical, and lakehouse environments.
• Design and build data architecture solutions on Google Cloud Platform (GCP).
• Contribute to defining data governance, cataloging, and lineage standards.
• Apply data modeling best practices across relational, dimensional, and analytical schemas.
• Write and review Python and SQL to prototype, validate, and optimize data solutions.
• Collaborate with Data Engineering and Software Engineering teams to ensure data architecture aligns with platform requirements.
• Participate in architectural reviews and provide input on complex data design decisions.
• Document data models, architecture decisions, and standards for broader engineering teams.
• Mentor junior data engineers on data modeling practices.

Required qualifications

• 4+ years of experience in data architecture, data modeling, or data engineering roles.
• Strong experience with data modeling: conceptual, logical, and physical modeling across relational, dimensional, and analytical schemas.
• Strong experience with SQL for complex data manipulation and optimization.
• Strong experience with Python for prototyping and automation.
• Experience designing and implementing data solutions on Google Cloud Platform (GCP).
• Understanding of data warehousing, data lakes, and lakehouse architecture patterns.
• Experience contributing to data governance, cataloging, and lineage practices.
• Experience collaborating with engineering and business stakeholders on data requirements.
• Strong communication skills, with the ability to document and present data models and design decisions.

Preferred qualifications

• Experience with modern data storage and open table formats, such as Parquet and Iceberg.
• Experience with data modeling tools such as Erwin, ER/Studio, TOAD Data Modeler, or DBML.
• Experience with dbt Core for transformation modeling.
• Experience with streaming or event-driven architectures, such as Kafka.
• Experience with data catalog and governance tooling.
• Experience in academic publishing, research, or education sectors.