EY - GDS Consulting - AI and DATA - Snowflake - DBT - Senior

EY; Chennai District; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

EY GDS – Data and Analytics (D&A) – Data Engineer (Snowflake, dbt, Airflow, Insurance Domain) is seeking an experienced data engineer with strong Snowflake, dbt and Airflow skills. The role focuses on building scalable data pipelines, data quality, and analytics enablement for insurance datasets.

Responsibilities include ELT pipeline design, data modeling, transformation logic in dbt, Airflow orchestration, and collaboration with insurance domain experts.

Qualifications

• Hands-on expertise with Snowflake data warehousing
• Strong proficiency with dbt for modular SQL transformations
• Experience: 5–8 years in data engineering or related field
• Solid experience with Astronomer/Apache Airflow for orchestration
• Strong SQL and data modelling skills
• Knowledge of ELT best practices and performance optimization
• Understanding of insurance data domains including policies, claims, actuarial data
• Familiarity with Git and CI/CD practices for data projects
• Knowledge of Python scripting in Airflow workflows is a plus
• Knowledge of Data Vault 2.0 and building model using dbt is a plus

Responsibilities

• Design, develop, and maintain ELT data pipelines using Snowflake, dbt, and Airflow.
• Build and optimize data models in Snowflake to support analytics and reporting requirements.
• Implement data transformation logic in dbt for business rules and semantic layer creation.
• Automate workflows and data ingestion processes with Airflow DAGs.
• Collaborate with domain experts to translate insurance data concepts into pipelines.
• Monitor system performance, troubleshoot data processing issues, and optimize queries.
• Prepare documentation and conduct knowledge-sharing sessions for team members.

Skills

Snowflake

dbt

Airflow

SQL

Data Modeling

Python

Insurance domain knowledge

Git & CI/CD

Data Vault 2.0

Education

Bachelor’s or Master’s degree in computer science/IS/Data Engineering

Tools

Astronomer

Apache Airflow

Job description

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

EY GDS – Data and Analytics (D&A) – Data Engineer (Snowflake, dbt, Airflow, Insurance Domain)

As part of our EY-GDS D&A (Data and Analytics) team, we help our clients solve complex business challenges with the help of data and technology. We dive deep into data to extract the greatest value and discover opportunities in key business and functions like Banking, Insurance, Manufacturing, Healthcare, Retail, Manufacturing and Auto, Supply Chain, and Finance.

The opportunity

We are seeking an experienced Data Engineer with strong expertise in Snowflake, dbt, and Astronomer- Airflow, along with a solid understanding of insurance business processes. This role will focus on building and optimizing scalable data pipelines, ensuring data quality, and enabling analytics capabilities for insurance data sets.

Your Key Responsibilities

• Design, develop, and maintain ELT data pipelines using Snowflake, dbt, and Airflow.
• Build and optimize data models in Snowflake to support analytics and reporting requirements.
• Implement data transformation logic in dbt for business rules and semantic layer creation.
• Automate workflows and data ingestion processes with Airflow DAGs.
• Collaborate with domain experts to translate insurance data concepts (policies, claims, underwriting) into technical pipelines.
• Monitor system performance, troubleshoot data processing issues, and optimize queries.
• Prepare documentation and conduct knowledge-sharing sessions for team members.

Skills And Attributes For Success

• Hands‑on expertise in Snowflake for data warehousing.
• Strong proficiency with dbt for modular, testable SQL transformations.
• Should be having Experience: 5–8 years
• Solid experience with Astronomer/Apache Airflow for orchestration and scheduling.
• Strong SQL and data modelling skills.
• Knowledge of ELT best practices and performance optimization.
• Understanding of insurance data domains including policies, claims, actuarial data, and compliance.
• Familiarity with version control (Git) and CI/CD practices for data projects.
• Knowledge of Python and Git‑based CI/CD pipelines is a plus.
• Knowledge of Data Vault 2.0 and building model using Dbt is a plus.

To qualify for the role, you must have

• Experience with cloud environments such as AWS, Azure, or GCP.
• Knowledge of Python for scripting in Airflow workflows.

Education

• Bachelor’s or master’s degree in computer science, Information Systems, Data Engineering, or related field

Ideally, you’ll also have

• Client management skills

What We Look For

People with technical experience and enthusiasm to learn new things in this fast‑moving environment

What Working At EY Offers

At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are.

You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer:

• Support, coaching and feedback from some of the most engaging colleagues around
• Opportunities to develop new skills and progress your career
• The freedom and flexibility to handle your role in a way that’s right for you

EY | Building a better working world

EY exists to build a better working world, helping to create long‑term value for clients, people and society and build trust in the capital markets.

Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.