Senior Engineer, Digital Innovation, Data Engineer

As a highly skilled Data Engineer at Celanese's Digital Innovation team, you will focus on delivering cutting-edge data solutions with an emphasis on data architecture, engineering, and cloud-based data services. Your expertise in Snowflake, Azure Data Factory, and Python will play a crucial role in enhancing the company's digital presence and customer engagement. Initially, you will support Chemille, the custom Product Finder application. Key Responsibilities: - Assist in overall architecture design, performance tuning, cost management, and implementation of data solutions within Azure cloud environments. - Implement end-to-end data analytics solutions for large-scale, complex client environments. - Define and manage execution from conception to prototyping, testing, deploying, and measuring its overall business value. - Act as a subject matter expert in one or more areas of the role, defining and resolving complex problems. - Influence issues that impact design/selling success or address future concepts, products, or technologies. - Communicate complex technical topics to non-technical business and senior executives. - Attend business performance review meetings to help stakeholders explore data and uncover insights. - Provide guidance on data governance, security, and privacy. Qualifications: - 7+ years of ETL/ELT skills, including experience with pipeline orchestration tools, logging, monitoring & alerting, troubleshooting, and automated testing & deployments. - Proficiency in Cloud Data Warehouse technology like Snowflake. - Exposure to Analytics & ETL tools like Power BI and Alteryx. - Familiarity with SAP ERP, SAP BW, SFDC, Files, etc. data sources. - Demonstrated experience working in all phases of full life cycle data analytics development. - Ability to collaborate with executives on strategy, project portfolio management, and best practices. - Strong presentation skills to author slides and sell technical solutions to clients. - Project management skills and ability to multitask. - Strong written and verbal communication skills. Preferred Additional Skills: - Experience with the Microsoft Azure suite of products. - Experience in Snowflake, data warehouse in the Cloud. - Experience in ETL script development. - Experience with data ingestion pipelines in Python programming language. Required Education & Certifications: - B.S. in Data Science, Computer Science, Information Systems, Business, Engineering, or related field. - Snowflake Snowpro Core certification preferred. - Analytics tools Power BI certification is a plus. - ETL - Alteryx Designer Certified Associate/Professional preferred. As a highly skilled Data Engineer at Celanese's Digital Innovation team, you will focus on delivering cutting-edge data solutions with an emphasis on data architecture, engineering, and cloud-based data services. Your expertise in Snowflake, Azure Data Factory, and Python will play a crucial role in enhancing the company's digital presence and customer engagement. Initially, you will support Chemille, the custom Product Finder application. Key Responsibilities: - Assist in overall architecture design, performance tuning, cost management, and implementation of data solutions within Azure cloud environments. - Implement end-to-end data analytics solutions for large-scale, complex client environments. - Define and manage execution from conception to prototyping, testing, deploying, and measuring its overall business value. - Act as a subject matter expert in one or more areas of the role, defining and resolving complex problems. - Influence issues that impact design/selling success or address future concepts, products, or technologies. - Communicate complex technical topics to non-technical business and senior executives. - Attend business performance review meetings to help stakeholders explore data and uncover insights. - Provide guidance on data governance, security, and privacy. Qualifications: - 7+ years of ETL/ELT skills, including experience with pipeline orchestration tools, logging, monitoring & alerting, troubleshooting, and automated testing & deployments. - Proficiency in Cloud Data Warehouse technology like Snowflake. - Exposure to Analytics & ETL tools like Power BI and Alteryx. - Familiarity with SAP ERP, SAP BW, SFDC, Files, etc. data sources. - Demonstrated experience working in all phases of full life cycle data analytics development. - Ability to collaborate with executives on strategy, project portfolio management, and best practices. - Strong presentation skills to author slides and sell technical solutions to clients. - Project management skills and ability to multitask. - Strong written and verbal communication skills. Preferred Additional Skills: - Experience with the Microsoft Azure suite of products. - Experience in Snowflake, data warehouse in the Cloud. - Experience in ETL script development. - Experience with data ingestion pipelines in Python programming language. Required Edu