Data Engineer – Databricks, BigQuery, Snowflake

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TENCYS

Site WebLinkedInTous les Emplois

11 - 50 employés

Fondée en 2024

💼 Conseil

📦 Logistique

🏥 Santé

💰 €35 000 Pre seed en 2024-11

Consulting • Logistics • Healthcare

TENCYS est une entreprise technologique pilotée par l'IA qui développe des solutions d'intelligence artificielle agentiques, de modèles de langage de grande taille (LLM), et de logiciels d'entreprise pour automatiser et accélérer la prise de décision commerciale. Elle propose le développement de modèles AI/ML, des services d'analytique, de cloud et d'intégration, ainsi que des cadres et produits packagés (par exemple, Analytica 360, VeriX LLM, AgriGPT) pour des secteurs tels que l'agritech, la fintech, la santé et la logistique. TENCYS se concentre sur l'intégration de systèmes, l'innovation éthique et une prestation orientée client pour déployer des agents et des plateformes d'entreprise évolutives et autonomes.

Description

• Design, develop, and optimize scalable data pipelines using SQL, Python, and PySpark • Build and maintain ETL workflows to transform raw data into structured, analytics-ready datasets • Collaborate with data scientists to deploy and integrate machine learning models into production environments • Work with cloud platforms such as AWS and Azure to manage and scale data infrastructure • Utilize Databricks and Snowflake for big data processing and data warehousing solutions • Implement workflow orchestration using tools like Apache Airflow to automate data pipelines • Manage infrastructure as code using Terraform for scalable and reliable deployments • Optimize data storage, retrieval, and performance across data warehouse systems • Ensure data quality, governance, and compliance using tools like Unity Catalog or Hive Metastore • Troubleshoot and resolve data pipeline issues while continuously improving system performance

🎯 Exigences

• 8+ years of experience in data engineering or related roles • Strong proficiency in SQL and Python for data processing and pipeline development • Hands-on experience with PySpark and large-scale data processing • Experience with ETL frameworks and data pipeline architecture • Working knowledge of cloud platforms such as AWS and Azure • Experience with Databricks and Snowflake environments • Familiarity with workflow orchestration tools like Apache Airflow • Experience with Terraform or similar infrastructure-as-code tools • Strong understanding of data warehousing concepts and best practices • Excellent problem-solving, analytical, and communication skills • Experience integrating machine learning or AI models into data pipelines is preferred • Exposure to data governance and cataloging tools such as Unity Catalog or Hive Metastore is preferred • Experience working in large-scale enterprise or consulting environments is preferred • Knowledge of performance tuning and optimization for big data systems is a plus • Familiarity with real-time data processing frameworks is a plus.

🏖️ Avantages

• This is a remote position • Opportunity to work on innovative data solutions