データエンジニア/ Senior Data Engineer
1 мес. назад
ЯпонияSenior
data engineeringaisaasdigital transformation
Senior Data Engineer role at , a pioneering AI and SaaS company driving industrial digital transformation.
О компании
- Impact 2025
- 's Industrial AI: Moonshot
- We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.
Требования
- Knowledge, aptitude, and passion for Data Engineering and AI technology. English proficiency: Reading/writing level or higher (must be proactive about verbal communication). Professional coding experience in Python. Strong communication skills with both customers and internal team members. Preferred Domain Knowledge: Experience with operational data and business drivers in heavy industries. Education: Bachelor’s degree (required); Master’s degree preferred. Consulting Ability: Experience negotiating requirements confidently with customers and peers. Integration Design: Experience in enterprise integration, CRM, or IT integration design. Project Leadership: Experience leading implementation in data and analytics projects. Technical Breadth: Broad experience across the data and analytics stack. BI Tools: Proficiency in Business Intelligence tools and enterprise analytics (e.g.,Power BI). Data Tools: Proficiency in SQL and Big Data tools (e.g., Apache Spark ecosystem). Cloud Experience: Experience with public clouds (AWS, GCP, or Azure—Azure preferred), including network security, IDPs, and application hosting. Operations: Experience in support and change management; designing architectures for centralized monitoring, logging, and reporting. DevOps Mindset: Familiarity with Git, CI/CD, and deployment environments. Technical Background: Willingness and ability to write code for advanced topics when necessary. Architectural Skills: Skills in data modeling and infrastructure soluti
Другое
- operates at the forefront of industrial digitalization, building AI , and data solutions that solve the world’s hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, accelerates the digital transformation to drive operational improvements.
- We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you’ll feel right at home here.
- Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future.
- Develop scripts and applications required for data ingestion, processing, and integration. Develop AI agents according to client requirements. Ensure appropriate use of data visualization technologies (Power BI, Grafana, Plotly Dash, etc.). Develop using appropriate data transformation technologies (Databricks, Azure, GCP, AWS, etc.). Model and contextualize data efficiently (graph, relational, etc.) within Data Fusion. Design overall technical solutions to ensure technical fit within the customer’s ecosystem and target architecture. Meet critical quality standards for solutions (CI/CD, logging, security, etc.). Clearly define operational responsibilities and support agreements for delivered solutions. Design integrations and data models using data connectors, SQL,Python/Java, and REST APIs. Act as a trusted advisor to customers and partners regarding Data Fusion.