Job Overview 综述:
Celanese is seeking a highly skilled Data Engineer to join its Digital Innovation team. This role focuses on delivering cutting-edge data solutions with an emphasis on data architecture, engineering, and cloud-based data services. The ideal candidate will have expertise in Snowflake, Azure Data Factory, and Python, and will play a crucial role in enhancing the company's digital presence and customer engagement. The role will begin by supporting Chemille, our custom Product Finder application.
Responsibilities 职责:
- Assist in overall architecture design, performance tuning, cost management, and implementation of data solutions within Azure cloud environments.
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Implement end-to-end data analytics solutions (from data ingestion through gold layer) for large-scale, complex client environments.
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Define and manage execution from conception to prototyping, testing, deploying, and measuring its overall business value.
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Look beyond existing methodologies and own discipline to define and resolve complex problems, acting as a subject matter expert in one or more areas of the role.
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Influence issues that impact design/selling success or address future concepts, products, or technologies.
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Create formal networks with key decision-makers involving coordination among groups.
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Communicate complex technical topics to non-technical business and senior executives and assist with scoping, architecting, and selling cloud data solutions.
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Attend business performance review meetings to help stakeholders explore data and uncover insights.
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Work autonomously and have decision-making authority on tasks or projects, often acting as a project or program leader.
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Provide guidance on data governance, security, and privacy.
Qualifications 要求:
- 7+ years of ETL/ELT skills, including experience with pipeline orchestration tools, logging, monitoring & alerting, deep troubleshooting, and automated testing & deployments (CI/CD).
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Proficiency in Cloud Data Warehouse technology like Snowflake.
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Exposure to in Analytics & ETL tools like Power BI, and Alteryx.
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Familiarity with SAP ERP, SAP BW, SFDC, Files, etc. data sources.
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Demonstrated experience working in all phases of full life cycle data analytics development: Requirements, Architecture, Design, Testing, and Deployment.
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Ability to collaborate with executives on strategy, project portfolio management, and best practices.
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Strong presentation skills to author slides and sell technical solutions to clients.
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Project management skills and ability to multitask, with a track record of meeting complex stakeholder needs.
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Strong written and verbal communication skills.
Preferred Additional Skills:
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Experience with the Microsoft Azure suite of products.
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Experience in Snowflake, data warehouse in the Cloud.
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Experience in ETL script development.
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Experience with data ingestion pipelines in Python programming language
Required Education & Certifications:
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B.S. in Data Science, Computer Science, Information Systems, Business, Engineering, or related field.
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Snowflake – Snowpro Core certification preferred.
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Strong data engineering fundamentals.
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Analytics tools – Power BI certification is a plus.
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ETL - Alteryx Designer Certified Associate/Professional preferred is a plus.
