Data Engineer
Job Description
- Bachelor’s degree in Computer Science, Engineering, Information Systems, a related quantitative field, or equivalent practical experience.
- 3 years of experience in a Data Engineering, Data Infrastructure, or Data Analytics role.
- Experience with data engineering and writing software in Python or SQL.
- Experience in managing and maintaining data projects from conception to production.
- Experience building and maintaining data pipelines tailored for ML, AI, or advanced analytics workloads.
Preferred qualifications:
- Experience supporting AI/ML initiatives and with Generative AI technologies, LLM integrations, RAG, Fine-tuning of models and vector databases.
- Experience building and productionizing end-to-end data pipelines using ETL tools.
- Experience with advanced data modeling and schema design for analytics.
- Expertise with Google Cloud Platform (GCP) data services (e.g., BigQuery, Dataflow, Pub/Sub) and AI infrastructure (e.g., Vertex AI, BigQuery ML).
- Familiarity with the consumer electronics industry or supply chain data.
- Excellent stakeholder management and communication skills, with the ability to translate technical concepts to non-technical audiences.