Data Engineer – Databricks, BigQuery, Snowflake

🕒 Abril 16

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TENCYS

SiteLinkedInTodas as Vagas

11 - 50 funcionários

Fundada em 2024

🤖 Inteligência Artificial

🏢 Corporativo

🤝 B2B

💰 $35.000 Pre seed em 2024-11

Artificial Intelligence • Enterprise • B2B

A TENCYS é uma empresa de tecnologia orientada por IA que desenvolve soluções com modelos de linguagem extensiva (LLM) e software corporativo para automatizar e acelerar a tomada de decisões empresariais. Eles oferecem desenvolvimento de modelos de AI/ML, análise de dados, serviços de nuvem e integração, além de frameworks e produtos prontos para uso (por exemplo, Analytica 360, VeriX LLM, AgriGPT) para setores como agritech, fintech, saúde e logística. A TENCYS se concentra na integração de sistemas, inovação ética e entrega centrada no cliente para implantar agentes autônomos escaláveis e plataformas empresariais.

Descrição

• 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

🎯 Requisitos

• 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.

🏖️ Benefícios

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