21 час назад
Senior Data Engineer (AI)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Engineer (AI): Designing and operating scalable data pipelines, warehouse models, and natural language interfaces for data and analytics with an accent on distributed systems, streaming, and GenAI/LLM techniques. Focus on optimizing SQL and data platforms, applying AI-assisted development, and supporting production systems through testing, documentation, and incident response.
Location: Hybrid in Chicago, Illinois, or remote from the United States or United Kingdom
What you will do
- Design, build, and maintain scalable data pipelines, warehouse models, and analytics solutions.
- Build natural language interfaces over data and analytics using GenAI and LLM techniques.
- Use GenAI coding tools to improve code quality, testing, and delivery speed.
- Evaluate technologies for scaling the data platform and establish standards for SQL, data modeling, testing, documentation, and code reviews.
- Support production data pipelines through on-call rotation and incident response.
- Translate business needs into technical solutions and document the technology stack and product domain.
Requirements
- Bachelor’s degree in Computer Science or a related field, or equivalent professional experience.
- 8+ years of experience building reliable, high-performance distributed systems, especially streaming and data pipelines.
- Experience maintaining multi-tenant SaaS products and scaling data modeling and warehousing.
- Experience building natural language interfaces over data warehouses with GenAI and LLM techniques.
- Enterprise experience with analytical data warehouses or query engines such as StarRocks, Amazon Redshift, Snowflake, Databricks, or Trino.
- Hands-on experience with SQL, Python, AWS or GCP, Kafka, and Spark.
Nice to have
- Experience with Cube or other semantic layers.
- Experience with Airflow or similar scheduling tools.
- Familiarity with Metabase.
- Proficiency in Ruby on Rails, React, or other adjacent languages.
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