Job description
Job Description 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 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.