Snowflake Data Engineer with Python and DBT Expertise

Infosys; Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Infosys is seeking a Snowflake Data Engineer with strong Python and DBT expertise to design, build, and optimize data warehouses and ELT pipelines. You will model data, develop dashboards, and collaborate with stakeholders to deliver scalable analytics solutions.

The role focuses on Snowflake-based data architectures, performance tuning, governance, and reusable DBT components, enabling enterprise-grade analytics across large datasets.

Qualifications

• Experience with Snowflake data warehouse design and implementation.
• Strong Python development skills for data engineering tasks.
• Expertise in DBT for data transformation and ELT pipelines.

Responsibilities

• Design, develop, and maintain scalable Snowflake Data Warehouse solutions.
• Build and optimize DBT-based ELT pipelines and data transformation frameworks.
• Develop enterprise-grade data models using Snowflake and modern Data Warehousing principles.
• Create interactive Power BI dashboards, reports, and data visualization solutions.
• Collaborate with business stakeholders to translate reporting and analytics requirements into technical solutions.
• Implement data quality, validation, and governance processes across the analytics ecosystem.
• Optimize Snowflake performance, storage, and query execution for large-scale datasets.
• Develop reusable DBT models, macros, tests, and documentation.

Skills

Snowflake

Python

DBT

ELT development

Data modeling

Data warehousing

Job description

Snowflake Data Engineer –Python/DBT

Primary skills: Technology -> Data on Cloud-DataStore -> Snowflake, Technology -> OpenSystem -> Python - OpenSystem Expertise in DBT (Data Build Tool) for data transformation and ELT development.

Design, develop, and maintain scalable Snowflake Data Warehouse solutions.

Build and optimize DBT-based ELT pipelines and data transformation frameworks.

Develop enterprise-grade data models using Snowflake and modern Data Warehousing principles.

Create interactive Power BI dashboards, reports, and data visualization solutions.

Collaborate with business stakeholders to translate reporting and analytics requirements into technical solutions.

Implement data quality, validation, and governance processes across the analytics ecosystem.

Optimize Snowflake performance, storage, and query execution for large-scale datasets.

Develop reusable DBT models, macros, tests, and documentation.