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Description
AuxoAI partners with Fortune 500-scale enterprises to design and deploy Agentic AI systems that drive measurable outcomesfrom data modernization to deployed functional products. AuxoAI enables the creation of AI-first enterprises with productized solutions, AI first engineering, and forward deployed experts.
We are looking for a strong Data Engineer to join our growing team. The ideal candidate brings solid ETL fundamentals, hands-on pipeline experience, and cloud platform proficiency with a preference for GCP/BigQuery expertise.
Responsibilities
- Design, build, and maintain scalable data pipelines and ETL/ELT workflows
- Work with Dataform or dbt to implement transformation logic and data models
- Develop and optimize data solutions on GCP (BigQuery, GCS) or AWS/Azure
- Support data migration initiatives and data mesh architecture patterns
- Collaborate with analysts, scientists, and business stakeholders to deliver reliable data products
- Apply data governance and quality best practices across the data lifecycle
- Troubleshoot pipeline issues and drive proactive monitoring and 2- 4 years of hands-on Data Engineering experience
- Strong ETL/ELT fundamentals pipeline design, transformation logic, end-to-end ownership
- Proficiency with Dataform or dbt (preferred); strong SQL is a must
- Experience with BigQuery (preferred) or equivalent cloud data warehouse (Redshift, Snowflake, Synapse)
- Cloud platform experience: GCP (preferred), AWS, or Azure including object storage (GCS, S3, ADLS)
- Exposure to data migration projects and/or data mesh principles
- Programming skills in Python or SQL; Spark/PySpark is a plus
- Bachelor's or Master's degree in Computer Science, Engineering, or related field
(ref:hirist.tech)
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