Senior Engineer, Digital Innovation, Data Engineer
Celanese International Corporation · Hyderabad, Telangana, India
Chemical Manufacturing · 10,001+ employees
About the role
The Data Engineer will design and implement end-to-end data analytics solutions within Azure cloud environments while managing data architecture and performance tuning. They will also act as a subject matter expert, communicating complex technical insights to senior executives and stakeholders.
What they look for
Requirements
Candidates must have 7+ years of experience in ETL/ELT, pipeline orchestration, and cloud data warehousing, specifically with Snowflake and Azure. A bachelor's degree in a relevant field is required, along with strong communication and project management skills.
Full 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 gold layer) 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
- 7+ years of ETL/ELT 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.
- Exposure to in 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: 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 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.
- Strong data engineering fundamentals.
- Analytics tools – Power BI certification is a plus.
- ETL - Alteryx Designer Certified Associate/Professional preferred is a plus.
