Data Engineer - DBT

AuxoAI Engineering; Bengaluru Urban; On-site; INR 1,500,000 - 2,800,000; Full time

Job summary

AuxoAI Engineering Pvt. Ltd. is seeking a skilled Data Engineer to join our Bangalore-based team. The ideal candidate has 3–7 years of data engineering experience and will design, build, and optimize data pipelines and infrastructure.

You'll work on modern data platforms using DBT, Snowflake, and Databricks, collaborating with data scientists and analysts to drive analytics and ML initiatives while ensuring governance, reliability, and cost-efficiency.

Qualifications

• 3+ years of experience in data engineering with data pipelines.
• Experience with DBT to implement end-to-end data engineering on Snowflake and Databricks.
• Strong SQL and Python (or PySpark) programming.
• Knowledge of Snowflake and Databricks ecosystems.
• Experience with data modeling, ETL processes, and data warehousing.
• Familiar with CI/CD or orchestration tools is a plus.

Responsibilities

• Design, build, and operate scalable data architectures on cloud or on-premises.
• Translate business requirements into technical specifications.
• Develop data pipelines and ETL processes using DBT on Snowflake/Databricks.
• Maintain scalable data pipelines and ensure reliability and cost efficiency.
• Collaborate with data scientists and analysts to enable analytics and ML initiatives.
• Implement data governance and security best practices.
• Troubleshoot pipeline issues and monitor performance.
• Stay updated with emerging data engineering technologies.

Skills

DBT

Snowflake

Databricks

PySpark

SQL

Python

Data modeling

ETL processes

CI/CD

Education

Bachelor's or Master's degree in Computer Science, Engineering, or a related field

Tools

DBT

Snowflake

Databricks

PySpark

Job description

AuxoAI Engineering Pvt. Ltd. | Full time

Bangalore North, India | Posted on 11/12/2025

AuxoAI is seeking a skilled and experienced Data Engineer to join our dynamic team. The ideal candidate will have 3-7 years of prior experience in data engineering, with a strong background in working on modern data platforms. This role offers an exciting opportunity to work on diverse projects, collaborating with cross-functional teams to design, build, and optimize data pipelines and infrastructure.

Location : Bangalore, Hyderabad, Mumbai, and Gurgaon

Responsibilities

• Designing, building, and operating scalable on-premises or cloud data architecture
• Analyzing business requirements and translating them into technical specifications
• Design, develop, and implement data engineering solutions using DBT on cloud platforms (Snowflake, Databricks)
• Design, develop, and maintain scalable data pipelines and ETL processes
• Collaborate with data scientists and analysts to understand data requirements and implement solutions that support analytics and machine learning initiatives.
• Optimize data storage and retrieval mechanisms to ensure performance, reliability, and cost-effectiveness
• Implement data governance and security best practices to ensure compliance and data integrity
• Troubleshoot and debug data pipeline issues, providing timely resolution and proactive monitoring
• Stay abreast of emerging technologies and industry trends, recommending innovative solutions to enhance data engineering capabilities.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Overall 3+ years of prior experience in data engineering, with a focus on designing and building data pipelines
• Experience of working with DBT to implement end-to-end data engineering processes on Snowflake and Databricks
• Comprehensive understanding of the Snowflake and Databricks ecosystem
• Strong programming skills in languages like SQL and Python or PySpark.
• Experience with data modeling, ETL processes, and data warehousing concepts.
• Familiarity with implementing CI/CD processes or other orchestration tools is a plus.