AuxoAI

Data Engineer - DBT

AuxoAI

Bangalore North, Karnataka, IndiaFull timePosted Nov 12, 2025

Job description

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 Py. Spark.
  • Experience with data modeling, ETL processes, and data warehousing concepts.
  • Familiarity with implementing CI/CD processes or other orchestration tools is a plus.