Data Engineer

LyondellBasell (NYSE: LYB): As a leader in the global chemical industry, LyondellBasell strives every day to be the safest, best operated and most valued company in our industry. The company’s products, materials and technologies are advancing sustainable solutions for food safety, access to clean water, healthcare and fuel efficiency in more than 100 international markets. LyondellBasell places high priority on diversity, equity and inclusion and is Advancing Good with an emphasis on our planet, the communities where we operate and our future workforce.  The company takes great pride in its world-class technology and customer focus. LyondellBasell has stepped up its circularity and climate ambitions and actions to address the global challenges of plastic waste and decarbonization. For more information, please visit www.lyondellbasell.com or follow @LyondellBasell on LinkedIn.

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. 
The ideal candidate will have a deep understanding of data modeling concepts, with specific expertise in building Enterprise Data Models. The Data Modeler will play a crucial role in designing, developing, and maintaining data models that support our organization's data analytics initiatives.

Roles & Responsibilities

•    Proven experience as a Data Modeler, Data Engineer or Database Developer with a focus on Azure SQL Managed Instance and Snowflake.
•    Strong expertise in data modeling techniques, including conceptual, logical, and physical modeling.
•    Proficiency in designing and optimizing database structures, queries, and stored procedures in Azure SQL Managed Instance and Snowflake.
•    Experience with data warehousing concepts and ETL processes, particularly in the context of Snowflake.
•    Strong communication and collaboration skills to work effectively with cross-functional teams.
•    Provide subject matter expertise and hands on delivery of data capture, curation and consumption pipelines on Azure
•    Design and Build Modern Data Pipelines and Data Streams
•    Design and optimizing data models on Azure cloud using Azure data stores
•    Experience integrating Azure security services with Azure data services for building secure data solutions
•    Expose data to end users using Power BI, Azure API Apps or other modern visualization platform or experience

Min. Qualifications

•    Bachelor’s degree in Computer Science, Information Systems, Business Administration or a related discipline
•    10+ years hands-on experience in architecting, developing, and successfully operationalizing complex/large scale data management projects
•    At least 3-5 years hands-on experience in managing SQL Managed Instance databases, including writing SQL queries, creating stored procedures, and optimizing database performance.
•    Strong proficiency in using the Snowflake data warehousing platform for data loading, querying, and performance optimization
•    At least 3-5 years of delivery experience on Azure
•    At least 3-5 years of experience in MS PaaS data services, but not limited to, such as Azure data factory, Azure data lake store, Azure function apps, Azure SQL/ Data Warehouse.
•    At least 3-5 years of experience in developing, designing, and deploying end to end batch / real-time solutions.
•    Professional experience in developing optimized stored procedures and performing analytical functions on the data sets.
•    Experienced in enterprise ETL tools 
•    Previously worked in agile and scrum

Preferred Qualifications

•    DevOps on an Azure platform
•    MCSA Cloud Platform (Azure) Training & Certification
•    MCSE Cloud Platform & Infrastructure Training & Certification
•    Experience of working with models in SAP HANA, manufacturing historians, various IoT, subscription and public data sources.
•    Relevant certifications in Azure SQL or data modeling (e.g., Microsoft Certified: Azure SQL Database Administrator) and Snowflake certifications (e.g., Snowflake Certified Data Engineer) are a plus.
•    Experience of Reporting and Analytics tools such as Tableau, Power BI, and Alteryx
•    Experience with global enterprise environment or major consulting firm is a plus. <