Senior Engineer, Digital Innovation

3 - 7 years

0 Lacs

Posted:1 week ago| Platform: Shine logo

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On-site

Job Type

Full Time

Job Description

As a highly skilled Data Engineer at Celanese's Digital Innovation team, your role will focus on delivering cutting-edge data solutions with an emphasis on data architecture, engineering, and cloud-based data services. You will be instrumental in enhancing the company's digital presence and customer engagement, starting with supporting the Chemille 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, influencing issues that impact design/selling success. - Create formal networks with key decision-makers, communicating complex technical topics to non-technical business and senior executives. - Attend business performance review meetings to help stakeholders explore data and uncover insights. - Work autonomously with decision-making authority on tasks or projects, providing guidance on data governance, security, and privacy. **Qualifications:** **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. - 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. - Ability to collaborate with executives on strategy, project portfolio management, and best practices. - Strong presentation skills and project management skills 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. - Experience with data ingestion pipelines in Python programming language. - General vector database knowledge. **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 is a plus.,

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