EY GDS Consulting AI and DATA DBT Snowflake Senior

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profile Job Location:

Delhi - India

profile Monthly Salary: Not Disclosed
Posted on: 23-10-2025
Vacancies: 1 Vacancy

Job Summary

At EY were all in to shape your future with confidence.

Well help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.

Join EY and help to build a better working world.

Job Description Data Engineer (Snowflake dbt Airflow Insurance Domain)

Position: Data Engineer

Rank- Senior

Experience: 58 years

Employment Type: Full-time

Overview

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.

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.

Required Skills

  • Hands-on expertise in Snowflake for data warehousing.
  • Strong proficiency with dbt for modular testable SQL transformations.
  • 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.

Preferred Qualifications

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

Education

  • Bachelors or masters degree in computer science Information Systems Data Engineering or related field

EY Building a better working world

EY is building a better working world by creating new value for clients people society and the planet while building trust in capital markets.

Enabled by data AI and advanced technology EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance consulting tax strategy and transactions. Fueled by sector insights a globally connected multi-disciplinary network and diverse ecosystem partners EY teams can provide services in more than 150 countries and territories.

At EY were all in to shape your future with confidence.Well help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.Join EY and help to build a better working world.Job Description Data Engineer (Snowflake dbt Airflow Insurance Domain)Pos...
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Key Skills

  • Databases
  • Data Analytics
  • Microsoft Access
  • SQL
  • Power BI
  • R
  • Tableau
  • Data Management
  • Data Mining
  • SAS
  • Data Analysis Skills
  • Analytics

About Company

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From legal advisory (where permitted) and operations to managed services, we provide informed services to help drive additional value. Find out more.

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