Data Engineer - Snowflake/DBT

AuxoAI Inc.; Bengaluru; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

AuxoAI Inc. is seeking a Data Engineer to design and build scalable data architecture while collaborating with data scientists. The ideal candidate should have over 4 years of experience in data engineering and deep knowledge of DBT, Snowflake, and Databricks.

Responsibilities include developing data pipelines, maintaining ETL processes, and implementing best practices for data governance. If you have a passion for innovative solutions in data handling, this could be the role for you.

Qualifications

• 4+ years of experience in data engineering with a focus on data pipelines.
• Experience implementing end-to-end data engineering processes using DBT.
• Strong programming skills in SQL and Python or PySpark.

Responsibilities

• Design scalable on-premises or cloud data architecture.
• Develop and maintain data pipelines and ETL processes.
• Collaborate with data scientists to support analytics and machine learning.

Skills

DBT

SQL

Python

PySpark

Data engineering

Data modeling

ETL processes

Data warehousing

Education

Bachelor's or Master's degree in Computer Science or related field

Tools

Snowflake

Databricks

Job description

AuxoAI Engineering Pvt. Ltd. | Full time

AuxoAI partners with Fortune 500-scale enterprises to design and deploy Agentic AI systems that drive measurable outcomes—from data modernization to deployed functional products. AuxoAI enables the creation of AI-first enterprises with productized solutions, AI first engineering, and forward deployed experts.

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 4+ 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