Job description
LyondellBasell
Basic Function
LyondellBasell has fully committed to achieving its vision as “The Chemical Company of the Future” and an industry leader in the areas of Sustainability and Customer Experience. The Digital Enterprise that will act as the foundation for enabling this vision will be built upon three pillars: A modern and extensible technology architecture, an ERP backbone that supports new business models, and a team of talented technologists that are empowered to build innovative solutions and digital products.
At the intersection of these pillars, the Data & Analytics Center of Excellence is building the data foundation and a catalog of data products, analytical applications, and enterprise services that give users across our company the tools, data, and guidance to generate insights.
The Data Service Platform Lead will be leading the team responsible for providing a modern, scalable and secure data platform for business intelligence, data science and analytics at scale.
Roles & Responsibilities
- Lead the Design, configuration, deployment and maintenance of data products on the cloud platform to support data and analytics at scale.
- Leverage and test block chain technology to modernize applications.
- Develop products to support the D&A Coe’s operational efficiency.
- Ensure availability, performance and scalability of the data platform
- Drive automation of platform and self-service for data consumers
- Support the strategy, planning and implementation of data services and products, providing sizing and configuration assistance and performing needs assessments.
- Continuous support to the technical principals and architects to prove and testing new technologies.
- Leverage Machine learning and advanced analytics techniques to build models to solve complex problems.
- Engage with multiple teams both inside and outside the Data & Analytics CoE, such as the Product teams, Enterprise Architecture team, Cyber Security etc. in implementing complex end-to-end solutions on the data platform.
- Continuously evaluate new technologies, vendor products and services.
- Report on metrics associated with the performance and availability of data platform services and products.
- Contribute to continuous improvements, practices, and operational efficiencies within the team
Min. Qualifications
- Bachelor’s degree in Computer Science, Information Systems, Engineering or equivalent experience in a relevant field
- 12+ years of relevant work experience in the building data products, data engineering, leading prototypes and MVP.
- 3+ years in full stack development using industry frameworks.
- 5+ years of experience leading technical teams and building data products and working with research mindset of new technology.
- Candidate needs to have heavy product development experience with data engineering.
- Experience deploying and supporting services running in the Cloud (Azure preferred)
- Proficiency with PowerShell, Python or other scripting languages
- Extensive knowledge of the Microsoft Enterprise software products and services
- Well-versed in operating systems like UNIX, Linux and Windows server
- Understanding of data flows, data architecture, ETL and processing of structured and unstructured data
- Technical background with understanding of database methodologies and various relational and NoSQL database technologies
- Experience in resolving issues with Azure resources.
- Knowledge of DevOps and Agile concepts & development principles including continuous integration & continuous delivery (CI/CD).
- Excellent leadership skills and the ability to troubleshoot problems quickly and efficiently in a diverse and challenging environment.
Preferred Qualifications
- Microsoft Azure Cloud Platform certification - Administrator or Architect level
- Hands on experience deploying and managing Microsoft Azure PaaS data services, such as but not limited to Azure SQL, Azure Synapse, Azure Data Lake Store, Azure Data Factory.
- Experience of Reporting and Analytics tools such as Power BI and Tableau
- Experience with global enterprise environment or major consulting firm.
- Familiarity with Agile and/or Scrum methods of delivery
- Knowledge of enterprise ETL tools like Azure Data Factory, SSIS, Informatica or similar.
- Experience in continuous integration tools (Git, Azure DevOps, Jenkins, TFS, Maven, Nexus)
- Data Management, Data Integration or Data Engineering experience.
- Knowledge of at least one other cloud hosting solution in addition to Azure (e.g., Google, AWS)
- Business Continuity or Disaster Recovery planning experience
- Strong understanding of networking concepts (troubleshooting, SSL configurations, vnets, nsg, subnets)
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Competencies
We are LyondellBasell – a leader in the global chemical industry creating solutions for everyday sustainable living. Through advanced technology and focused investments, we are enabling a circular and low carbon economy. Across all we do, we aim to unlock value for our customers, investors and society. As one of the world’s largest producers of polymers and a leader in polyolefin technologies, we develop, manufacture and market high-quality and innovative products for applications ranging from sustainable transportation and food safety to clean water and quality healthcare. For more information, please visit www.lyondellbasell.com or follow @LyondellBasell on LinkedIn.
Must be at least 18 years of age and must be legally authorized to work in the United States (US) on a permanent basis without visa sponsorship.
LyondellBasell does not accept or retain unsolicited résumés or phone calls and/or respond to them or to any third party representing job seekers.
LyondellBasell is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, veteran status, and other protected characteristics. The US EEO is the Law poster is available here.
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