Data Engineer - Snowflake/DBT

AuxoAI Engineering; Bengaluru; On-site; INR 1,500,000 - 2,200,000; Full time

Job summary

AuxoAI Engineering Pvt. Ltd. is seeking a seasoned Data Engineer to design and operate scalable data pipelines for cloud and on-premises environments in Bengaluru.

You will translate business needs into robust data architectures and collaborate with data scientists to enable analytics and ML initiatives. The role requires 4+ years in data engineering, deep DBT-Snowflake-Databricks experience, and strong SQL/Python or PySpark skills.

Qualifications

• 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 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.

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.

Skills

DBT

Snowflake

Databricks

SQL

Python

PySpark

Data Modeling

ETL

CI/CD

Education

Bachelor's or Master's degree in Computer Science or Engineering

Tools

DBT

Snowflake

Databricks

CI/CD tools

Job description

AuxoAI Engineering Pvt. Ltd. | Full time

AuxoAI partners with Fortune 500-scale enterprises todesign and deploy Agentic AI systems that drive measurable outcomes—from data modernization to deployed functional products. AuxoAIenablesthe creationof AI-first enterprises withproductized solutions,AI firstengineering,andforwarddeployed 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.