Data Engineer

AuxoAI Inc.; Bengaluru; On-site; INR 800,000 - 1,500,000; Full time

Job summary

A leading data engineering firm in Bengaluru is seeking a skilled Data Engineer with 3-7 years of experience. The candidate will design, build, and optimize data pipelines and collaborate with teams on modern data platforms. Key requirements include proficiency in SQL, Python, and DBT, along with a degree in Computer Science or Engineering. This full-time position offers a dynamic work environment with exciting projects.

Qualifications

• Overall 3+ years of prior experience in data engineering focused on designing pipelines.
• Strong programming skills in SQL and Python or PySpark.
• Experience with data modeling, ETL processes, and data warehousing.

Responsibilities

• Design and operate scalable on-premises or cloud data architecture.
• Collaborate with data scientists for analytics and machine learning needs.
• Troubleshoot data pipeline issues and implement solutions.

Skills

Data pipeline design and implementation

SQL

Python

DBT

Data modeling

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

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.

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.