Data Engineer (DBT, Snowflake, Python)

Job Title: Data Engineer (DBT, Snowflake, Python)

Experience:

9+ Years

Role Overview

We are looking for a skilled Data Engineer with 6-9 years of strong hands-on experience in building scalable and efficient data pipelines. The ideal candidate will have deep expertise in

DBT, Snowflake, and Python

, and a solid understanding of modern data engineering practices.

You will be responsible for designing, developing, and optimizing data pipelines and transformation workflows to support analytics, reporting, and business intelligence needs.

Key Responsibilities

• Design, develop, and maintain

scalable data pipelines

using DBT, Snowflake, and Python

• Build and manage

data transformation workflows

using DBT (models, macros, testing, and documentation)

• Develop efficient data ingestion and processing pipelines using Python

• Optimize

Snowflake data models

, queries, and performance for large-scale datasets

• Ensure data quality, reliability, and consistency through testing and validation frameworks

• Collaborate with data analysts, business teams, and stakeholders to understand data requirements

• Implement best practices for

data modeling, version control, and pipeline orchestration

• Monitor and troubleshoot data pipeline issues and performance bottlenecks

• Maintain clear and structured documentation for data workflows and pipelines

Required Skills & Qualifications

• 7 +years of hands-on experience in

Data Engineering

• Strong expertise in

DBT (Data Build Tool)

• Solid experience with

Snowflake

(data warehousing, performance tuning, optimization)

• Strong expertise in

Python

for data processing and pipeline development

• Good understanding of

SQL and data modeling concepts

(star schema, dimensional modeling)

• Experience with

data pipeline orchestration tools

(Airflow or similar)

• Familiarity with

data quality and testing frameworks

• Strong problem-solving and analytical skills