Principal Data Engineer

Virtusa; Maharashtra; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Virtusa is seeking a Senior Data Engineer (P3) to design, build, and own data pipelines powering our Enterprise Data platform. You will collaborate with data architects, analysts, and cross-functional teams to deliver reliable, analytics-ready datasets from ingestion to storage.

The role emphasizes Python, Apache Airflow, dbt Core, and a strong command of SQL across cloud data warehouses. You will mentor junior engineers and drive data governance practices across the life cycle.

Qualifications

• 4+ years of experience in data engineering.
• Proficient in Python.
• Experience with Apache Airflow and dbt Core.
• Strong SQL and data warehouse knowledge.
• Experience designing and maintaining ETL/ELT pipelines.
• Experience with Git-based workflows and CI/CD for data pipelines.
• Understanding of Agile development methodologies.
• Experience writing automated tests for data pipelines and dbt models.

Responsibilities

• Design, build, and maintain scalable ETL/ELT pipelines using Python and Airflow.
• Own the dbt Core transformation layer: models, tests, docs, deployment.
• Manage data life cycle across ingestion, transformation, quality, storage, retention.
• Define data management standards for quality, cataloging, lineage.
• Administer and optimize Airflow environment (Cloud Composer where applicable).
• Collaborate with data architects, analysts, and cross-functional teams to deliver reliable data pipelines.
• Conduct design and code reviews.
• Mentor junior data engineers.
• Troubleshoot and resolve production data pipeline issues.

Skills

Python

Apache Airflow

dbt Core

SQL

ETL/ELT pipelines

Git-based workflows

CI/CD for data pipelines

Agile methodologies

Automated tests for data pipelines

Tools

Google Cloud Platform (GCP)

Cloud Composer

Google Cloud Storage (GCS)

Job description

Position summary

The Senior Data Engineer (P3) is a strong individual contributor responsible for designing, building, and owning the data pipelines and transformation layer that power our Enterprise Data platform.

You’ll work closely with data architects, analysts, and cross-functional teams to deliver reliable, well-governed data across its full life cycle—from ingestion through to analytics-ready, trusted datasets.

Key responsibilities

• Design, build, and maintain scalable ETL/ELT pipelines using Python and Apache Airflow.
• Own the dbt Core transformation layer, including models, tests, documentation, and deployment.
• Manage the full data life cycle across ingestion, transformation, quality, storage, and retention.
• Define data management standards for data quality, cataloging, and lineage.
• Administer and optimize the Airflow environment, including Cloud Composer where applicable.
• Collaborate with data architects, analysts, and cross-functional teams to deliver reliable data pipelines.
• Conduct design and code reviews.
• Mentor junior data engineers.
• Troubleshoot and resolve production data pipeline issues.

Required Qualifications

• 4+ years of experience in data engineering.
• Python
• Apache Airflow
• ETL/ELT pipeline architecture
• dbt Core
• Strong understanding of data management principles and the end-to-end data life cycle.
• Experience with SQL and relational or cloud data warehouse platforms.
• Experience with Git-based workflows and CI/CD for data pipelines.
• Understanding of Agile development methodologies.
• Experience writing automated tests for data pipelines and dbt models.

Preferred Qualifications

• Experience with Google Cloud Platform (GCP).
• Experience with Google Cloud Storage (GCS).
• Experience with Cloud Composer.