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.
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 (from data ingestion through visualization) for large-scale, complex client environments. • Define and manage the advanced analytics program governance to enable execution from conception to prototyping, testing, deploying, and measuring its overall business value. • 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. • Influence issues that impact design/selling success or address future concepts, products, or technologies. • Create formal networks with key decision-makers involving coordination among groups. • Communicate complex technical topics to non-technical business and senior executives and assist with scoping, architecting, and selling cloud data solutions. • Attend business performance review meetings to help stakeholders explore data and uncover insights. • Work autonomously and have decision-making authority on tasks or projects, often acting as a project or program leader. • Provide guidance on data governance, security, and privacy.
Required Skills: • 3+ years of Data Warehouse architecture and delivery experience. • 3+ years of ETL/ELT/Python programming skills, including experience with pipeline orchestration tools, logging, monitoring & alerting, deep troubleshooting, and automated testing & deployments (CI/CD). • Proficiency in Cloud Data Warehouse technology like Snowflake and SAP SAC. • Proficiency in Analytics & ETL tools like Power BI, and Alteryx. • Familiarity with SAP ERP, SAP BW, SFDC, Files, etc. data sources. • Capability to tie infrastructure and security requirements to data fabric. • Demonstrated experience working in all phases of full life cycle data analytics development: Requirements, Architecture, Design, Testing, and Deployment. • 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, with a track record of meeting complex stakeholder needs under tight timelines. • 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 database automation and ETL script development. • Familiarity with SAP platform is an additional plus. Required Education & Certifications: • B.S. in Data Science, Computer Science, Information Systems, Business, Engineering, or related field. • Microsoft Azure Solution Architect certification preferred. • Snowflake – Snowpro Core certification preferred. • Analytics tools – Power BI certification is a plus. • ETL - Alteryx Designer Certified Associate/Professional preferred is a plus.