Snowflake Data Engineer DBT AND Python

Job Title: Senior Snowflake Data Engineer Snowflake, DBT & Python

Location: Hyderabad
Experience: 8 - 12 Years
Notice Period: Immediate Joiners to 60 Days Only

Interview Details: Face-to-Face (F2F) Interview Drive on Saturday, 24th October.

Job Summary

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

Mandatory Skills

• Strong hands-on experience in Snowflake Data Warehousing.
• Expert-level Python scripting for data processing and automation.
• Hands-on experience with DBT (Data Build Tool) for data transformation and pipeline development.
• Experience with Apache Airflow for workflow orchestration and scheduling.
• Ability to design, develop, and optimize complex data transformation pipelines at scale.
• Strong SQL skills and experience in query optimization and performance tuning.

Good-to-Have Skills

• Power BI or any other Business Intelligence (BI) tool.
• Working knowledge of AI and AI-enabled data solutions.
• Experience with cloud data engineering and ELT pipeline development.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines using Snowflake, DBT, and Python.
• Build and manage data transformation workflows using DBT.
• Orchestrate and schedule data pipelines using Apache Airflow.
• Optimize Snowflake queries, warehouse performance, and data transformation processes.
• Develop Python scripts for data processing, automation, and pipeline integration.
• Collaborate with data architects, analysts, and business stakeholders to deliver reliable data solutions.
• Ensure data quality, pipeline reliability, and performance at scale.

Candidate Criteria

• 8-12 years of relevant experience.
• Strong hands-on expertise in Snowflake, DBT, Python, and Airflow.
• Hyderabad location.
• Immediate joiners to candidates with a maximum 60-day notice period.