Senior Data Engineer - Snowflake/DBT

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

Job summary

AuxoAI Inc. is hiring for a Full-time Data Engineer to design and operate scalable data architectures on cloud platforms like Snowflake and Databricks. The ideal candidate will have over 7 years of experience in data engineering, proficient in using DBT to implement data pipelines.

Responsibilities include collaborating with Cross-functional teams on analytics projects and ensuring data governance practices. A degree in Computer Science or a related field is required, along with strong SQL and programming skills.

Qualifications

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

Responsibilities

• Design and operate scalable data architecture on cloud platforms.
• Collaborate with teams to implement analytics and machine learning solutions.
• Implement data governance practices for compliance and integrity.

Skills

Data engineering

DBT

SQL

Python

PySpark

Education

Bachelor's or Master's degree in Computer Science, Engineering, or a 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 7+ 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