Centific
Artificial Intelligence • eCommerce • Enterprise
Centific is a company that provides Zero distance innovation™ solutions for Generative AI (GenAI) creators and industries. The company focuses on rapid, safe, and scalable AI deployment, offering high-quality data and models to drive business impact through accelerated deployments. With expertise in AI and data science, Centific is positioned as a leader in data annotation and labeling for AI/ML, recognized by the Everest Group’s 2024 assessments. Their AI platforms support enterprise-ready applications, particularly improving search, personalization, fraud detection, and customer engagement in ecommerce environments. Centific serves a wide array of industries with foundational and frontier AI data solutions, fostering partnerships with leading model providers to advance sustainable GenAI models and applications.
5001 - 10000 employees
🤖 Artificial Intelligence
🛍️ eCommerce
🏢 Enterprise
Data Engineer
Job not on LinkedIn
March 24
Centific
Artificial Intelligence • eCommerce • Enterprise
Centific is a company that provides Zero distance innovation™ solutions for Generative AI (GenAI) creators and industries. The company focuses on rapid, safe, and scalable AI deployment, offering high-quality data and models to drive business impact through accelerated deployments. With expertise in AI and data science, Centific is positioned as a leader in data annotation and labeling for AI/ML, recognized by the Everest Group’s 2024 assessments. Their AI platforms support enterprise-ready applications, particularly improving search, personalization, fraud detection, and customer engagement in ecommerce environments. Centific serves a wide array of industries with foundational and frontier AI data solutions, fostering partnerships with leading model providers to advance sustainable GenAI models and applications.
5001 - 10000 employees
🤖 Artificial Intelligence
🛍️ eCommerce
🏢 Enterprise
📋 Description
• Develop and optimize PySpark-based ETL pipelines for processing large-scale data. • Develop, test, and maintain robust Python applications. • Collaborate with data engineers, analysts, and other developers to design and implement data solutions. • Work with Azure Data Lake, Azure Databricks, and Azure Data Factory to build scalable data solutions. • Implement data classification, policy enforcement, and metadata extraction within Purview. • Collaborate with data engineers and business teams to ensure smooth data flow across systems. • Troubleshoot performance bottlenecks in Spark jobs and improve data pipeline efficiency. • Ensure data security, compliance, and quality following best practices.
🎯 Requirements
• 3+ years of experience in Python and PySpark for big data processing. • Proven experience as a Python Developer or similar role. • Strong experience with Azure Data Services (Data Lake, Data Factory). • Excellent problem-solving skills and ability to work in an agile environment. • Excellent communication and teamwork abilities.
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