Snowflake DBT+ Python-H

Advance Career Solutions; Hyderabad; Hybrid; INR 2,400,000 - 4,800,000; Full time

Job summary

Advance Career Solutions in Hyderabad is seeking an experienced Snowflake Data Engineer to design, develop, and optimize scalable data transformation pipelines in a cloud data warehouse environment using Snowflake, dbt, Python, and Apache Airflow.

You will build and manage data workflows, optimize SQL and data models, ensure data quality, and collaborate with analytics, business teams, and AI-enabled analytics where applicable.

Qualifications

• Strong hands-on experience with Snowflake Data Warehousing.
• Expert-level Python development experience.
• Hands-on experience with dbt for data transformation.
• Experience with Apache Airflow for workflow orchestration.
• Proven ability to design and optimize complex data pipelines at scale.

Responsibilities

• Design, develop, and optimize data pipelines using Snowflake for large-scale warehousing.
• Build and manage data transformation workflows with dbt and Python scripting.
• Implement and maintain workflow orchestration with Apache Airflow.
• Optimize SQL queries, data models, and pipeline performance for scalability.
• Ensure data quality, reliability, and consistency across pipelines.
• Collaborate with data engineering, analytics, and business teams to deliver data-driven solutions.
• Leverage AI-enabled analytics capabilities where applicable.

Skills

Snowflake DW

Python scripting

dbt

Apache Airflow

Data pipelines

Job description

Job Title: Senior Snowflake dbt + Python Engineer
Location: Hyderabad
Experience: 8-12 years
Notice Period: Immediate-60 days
Interview Mode: Face-to-Face (F2F) Drive on Saturday 24th Oct at Hyderabad

Job Description

We are looking for an experienced Snowflake Data Engineer with strong expertise in Snowflake, dbt, Python, and Apache Airflow to design, develop, and optimize scalable data transformation pipelines in a cloud data warehouse environment.

Key Responsibilities

• Design, develop, and optimize complex data pipelines using Snowflake for large-scale data warehousing.
• Build and manage data transformation workflows using dbt and advanced Python scripting.
• Implement and maintain workflow orchestration using Apache Airflow.
• Optimize SQL queries, data models, and pipeline performance for scalability and efficiency.
• Ensure data quality, reliability, and consistency across transformation pipelines.
• Collaborate with data engineering, analytics, and business teams to deliver data-driven solutions.
• Leverage AI-enabled capabilities in data analytics and BI solutions wherever applicable.

Mandatory Skills

• Strong hands-on experience in Snowflake Data Warehousing.
• Expert-level Python scripting and development.
• Hands-on experience with dbt for data transformation.
• Experience with Apache Airflow for workflow orchestration.
• Proven experience designing and optimizing complex data pipelines at scale.

Good-to-Have Skills

• Working knowledge of Power BI or any other BI tool.
• Exposure to AI-enabled analytics or AI-driven data solutions.

Interview Details

• Drive Type: Face-to-Face (F2F)
• Day: Saturday-24th Oct,2026
• Venue: Hyderabad
• Eligibility: Immediate to 60days.

Important: Candidates must be available for the in-person interview drive in Hyderabad on Saturday.