People10 Technologies Inc.
501 - 1000 employees
Founded 2011
🏢 Enterprise
🤝 B2B
🤖 Artificial Intelligence
💰 $1.6M Venture Round - People10 Technologies on 2014-10
Enterprise • B2B • Artificial Intelligence
People10 is a global engineering and digital transformation services firm that combines consulting, software engineering, and domain expertise to build enterprise-grade applications and AI-enabled solutions. The company offers a broad service portfolio including enterprise software and product development, legacy modernization, cloud engineering and migration, DevOps and CI/CD, quality engineering and test automation, data engineering and MLOps, IoT, and AI/Generative AI solutions. People10 also provides dedicated remote development teams and industry-specific solutions for sectors such as banking & finance, healthcare, retail/e-commerce, transport & logistics, travel & hospitality, and manufacturing.
Lead Data Engineer
Job not on LinkedIn
🕒 June 6
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People10 Technologies Inc.
501 - 1000 employees
Founded 2011
🏢 Enterprise
🤝 B2B
🤖 Artificial Intelligence
💰 $1.6M Venture Round - People10 Technologies on 2014-10
Enterprise • B2B • Artificial Intelligence
People10 is a global engineering and digital transformation services firm that combines consulting, software engineering, and domain expertise to build enterprise-grade applications and AI-enabled solutions. The company offers a broad service portfolio including enterprise software and product development, legacy modernization, cloud engineering and migration, DevOps and CI/CD, quality engineering and test automation, data engineering and MLOps, IoT, and AI/Generative AI solutions. People10 also provides dedicated remote development teams and industry-specific solutions for sectors such as banking & finance, healthcare, retail/e-commerce, transport & logistics, travel & hospitality, and manufacturing.
📋 Description
• Design end-to-end data architectures • Evaluate and propose cloud-native platform solutions • Build and optimize ETL/ELT pipelines • Develop scalable data lakes and warehouses • Implement real-time streaming pipelines • Transform and process large datasets • Participate in requirement gathering meetings
🎯 Requirements
• 7 - 9 years of experience • Strong programming skills in Python or Scala, SQL • Hands-on experience with cloud-native data services • Experience with Spark / PySpark • Proficiency with data modeling • Strong knowledge of data lake / lakehouse architectures • Familiarity with containerization and CI/CD • Knowledge of security practices
🏖️ Benefits
• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Remote work options
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