Gen AI Data Engineer

Tiger Analytics Inc. · Remoto · Remote

Recebendo candidaturas · conferida em 13/10

Ficha da vaga

Modelo
Remoto
Onde aceita
Não informado
Senioridade
Senioridade não informada
Salário
Salário não divulgado

Fonte: Workable · Ver vaga original →

  • python
  • sql
  • git github
  • vs code
  • linux basico
  • comunicacao

Organizei a descrição em seções com IA. O texto completo da vaga está logo abaixo.

Sobre a vaga

Tiger Analytics is seeking an experienced Gen AI Data Engineer proficient in Python, SQL, and cloud platforms to build and deploy robust data pipelines.

O que pedem

  • Proficiency in Python, SQL, and PySpark.
  • Experience with Snowflake, NOSQL and Neo4j.
  • Proficiency with Apache Airflow.
  • Familiarity with AWS (S3, RDS, Lambda, AWS batch, SageMaker processing Job, CloudFormation, etc.) or GCP (Vertex AI RAG, Data pipeline, Bigquery, GKE)
  • Experience with Linux.

Descrição completa da vaga

Tiger Analytics is looking for experienced Machine Learning Engineers with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. You will be responsible for: Technical Skills Required: Programming Languages: Proficiency in Python, SQL, and PySpark. Data Warehousing: Experience with Snowflake, NOSQL and Neo4j. Data Pipelines: Proficiency with Apache Airflow. Cloud Platforms: Familiarity with AWS (S3, RDS, Lambda, AWS batch, SageMaker processing Job, CloudFormation, etc.) or GCP (Vertex AI RAG, Data pipeline, Bigquery, GKE) Operating Systems: Experience with Linux. Batch/Realtime Pipelines: Experience in building and deploying various pipelines. Version Control: Experience with GitHub. Development Tools: Proficiency with VS Code. Engineering Practices: Skills in testing, deployment automation, DevOps/SysOps. Communication: Strong presentation and communication skills. Collaboration: Experience working with onshore/offshore teams.

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Aceita candidatos de onde?
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É remota?
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