NPS Prism
201 - 500 employees
Founded 2019
💼 Consulting
📣 Marketing
📦 Logistics
Consulting • Marketing • Logistics
NPS Prism is a customer experience (CX) benchmarking platform developed by Bain & Company, designed to provide insights that help businesses enhance their customer journeys. The platform allows business leaders to access real-time data, benchmarking metrics, and tailored insights to make informed decisions about customer experience improvements. With a global dataset and customer feedback from various industries, NPS Prism helps companies understand their performance relative to competitors and identify impactful areas for enhancement in customer satisfaction.
Data Engineer II
🕒 June 11
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NPS Prism
201 - 500 employees
Founded 2019
💼 Consulting
📣 Marketing
📦 Logistics
Consulting • Marketing • Logistics
NPS Prism is a customer experience (CX) benchmarking platform developed by Bain & Company, designed to provide insights that help businesses enhance their customer journeys. The platform allows business leaders to access real-time data, benchmarking metrics, and tailored insights to make informed decisions about customer experience improvements. With a global dataset and customer feedback from various industries, NPS Prism helps companies understand their performance relative to competitors and identify impactful areas for enhancement in customer satisfaction.
📋 Description
• Design, build, and optimize ETL/ELT workflows using Databricks, SQL, Python/pyspark & Alteryx • Work on cloud platforms (Azure, AWS) to build and manage data lakes, data warehouses, and scalable data architectures • Use Databricks for big data processing, analytics, and real-time data processing • Collaborate with cross-functional teams to deliver impactful data solutions • Leverage CI/CD pipelines to streamline development, testing, and deployment of data engineering workflows
🎯 Requirements
• 3–6 years of experience in Data Engineering or related roles • Proficiency in Python, SQL, and PySpark for data processing and manipulation • Hands-on experience with big data processing frameworks, data lakes, and cloud-native services • Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related field • Familiarity with data visualization tools like Power BI, Tableau, or similar is a plus
🏖️ Benefits
• Health insurance • Professional development opportunities • Flexible working environment • Collaboration across global teams
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