The Data Engineer will design and maintain scalable data pipelines, implement ETL/ELT processes, manage data standards, and troubleshoot data issues.
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.
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 dimensional data models (star and snowflake schemas)
• Implement and manage Slowly Changing Dimensions (SCD Type 1, Type 2, etc.) to support historical data tracking and analytics
• 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, well-modeled data products
• Apply data governance, data modelling standards, and quality best practices across the data lifecycle
• Troubleshoot pipeline issues and drive proactive monitoring and resolution
Requirement:
• 1–4 years of hands-on Data Engineering experience
• Strong ETL/ELT fundamentals — pipeline design, transformation logic, and end-to-end ownership
• Solid understanding of data warehousing concepts, including dimensional modelling, star schema, and snowflake schema design
• Hands-on experience implementing Slowly Changing Dimensions (SCD Type 1, Type 2, and/or hybrid approaches)
• 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
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