Senior Engineer, Digital Innovation, Data Engineer at Celanese

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

23 Apr, 26

Salary

0.0

Posted On

23 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Warehouse Architecture, ETL, Python Programming, Snowflake, Azure Data Factory, Power BI, Alteryx, Data Governance, Cloud Data Services, Data Analytics, Project Management, Communication Skills, Presentation Skills, Collaboration, Problem Solving, Performance Tuning

Industry

Chemical Manufacturing

Description

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. Implement end-to-end data analytics solutions (from data ingestion through visualization) for large-scale, complex client environments. Define and manage 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. Qualifications 要求 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: 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. 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.

Responsibilities

The Senior Engineer will assist in the overall architecture design and implementation of data solutions within Azure cloud environments. They will also implement end-to-end data analytics solutions and communicate complex technical topics to non-technical stakeholders.