Orbia
https://orbia.comAbout
Orbia is a purpose-driven global company with the mission: “to advance life around the world.”
Operating across more than 100 countries and over 50 production sites, Orbia serves customers through five key business groups.
Their offerings span advanced materials, specialty products and innovative solutions focused on:
- Health & well-being
- Food, water and sanitation security
- Connectivity & information access
- Reinventing cities & homes
- Energy transition and sustainable materials
Orbia offers global scale, meaningful impact, and a portfolio of diverse, growth-oriented business units.
Candid answers by the company
Orbia designs, manufactures and supplies materials and solutions that address major global challenges — from precision irrigation and water infrastructure to advanced fluorochemicals for electric vehicles, specialty polymers, and connectivity infrastructure.
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Jobs at Orbia
Data Analytics
PythonKnowledge & Experience:
- Providing Technical leadership and guidance to Teams In Data and Analytics engineering solutions and platforms
- Strong problem-solving skills and the ability to translate business requirements into actionable data science solutions.
- Excellent communication skills, with the ability to effectively convey complex ideas to technical and non-technical stakeholders.
- Strong team player with excellent interpersonal and collaboration skills.
- Ability to manage multiple projects simultaneously and deliver high-quality results within specified timelines.
- Proven ability to work collaboratively in a global, matrixed environment and engage effectively with global stakeholders across multiple business groups.
Relevant Experience:
- 12+ years of IT experience in delivering medium-to-large data engineering, and analytics solutions
- Min. 4 years of Experience working with Azure Databricks, Azure Data Factory, Azure Data Lake, Azure SQL DW, Azure SQL, Power BI, SAC and other BI, data visualization and exploration tools
- Deep understanding of master data management & governance concepts and methodologies
- Experience in Data Modelling & Source System Analysis
- Familiarity with PySpark
- Mastery of SQL
- Experience with Python programming language used for Data Engineering purpose.
- Ability to conduct data profiling, cataloging, and mapping for technical design and construction of technical data flows.
- Preferred but not required -
- Microsoft Certified: Azure Data Engineer Associate
- Experience in preparing data for Data Science and Machine Learning
- Knowledge of Jupyter Notebooks or Databricks Notebooks for Python development
- Power BI Dataset Development and Dax
- Power BI Report development
- Exposure to AI services in Azure and Agentic Analytics solutions
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