Basic Function

The Data Engineer/Modeler is a core member of the team responsible for providing digital solutions to data challenges through design and implementation of an ecosystem of Cloud solutions to support modern data technologies. This role will be responsible for designing, developing, optimizing and standardizing data pipelines, creating robust enterprise data models for data publishing while complying with, and adding value to, the data architecture. Perform data model design, data formatting, and ETL development optimized for efficient storage, access, and computation to serve various use cases. The Senior Data Engineer will also be responsible for guiding the existing data engineering team and developing cloud-native solutions with low time to market by leveraging Agile, DevOps methodologies.

Roles & Responsibilities

Work closely with platform engineers, data architects, data scientists and data source owners to deliver foundational data sets, enabling analytics solutions driving successful business outcomes.
Provide leadership in designing and implementing best practices for efficient sourcing and processing large data sets from Analytics data stores.
Build real-time, reliable, scalable, high performing, distributed, fault tolerant systems.
Design and develop code, scripts and data pipelines that leverage structured and unstructured data.
Implement measures to address data privacy, security, compliance and ensure robust data governance.
Industrializing data lakes or real-time platforms for an enterprise enabling business applications and usage at scale
Monitor, maintain and optimize production systems. Investigate and resolve incidents reported by users. Identify opportunities to automate, consolidate and simplify platform.
Work with Enterprise Architecture, Digital, and other IT teams to develop and maintain data integrity, integration and governance standards.
Guide business stakeholder and mentor members of the data and analytics teams regarding technology and best practices.
Manage assigned activities within time, cost and technical objectives. May manage small projects with internal or external resources.

Min. Qualifications

Bachelor's degree required
5+ years hands-on experience in architecting, developing, and successfully operationalizing complex/large scale data management projects
Experience in data warehouse and ETL design and development using Azure SQL on RDBMS and MPP databases
Experience in SQL Development, specifically with complex queries
Good understanding and hands-on experience implementing data migration and data processing using Azure services: ADLS, Azure Data Factory, Synapse/DW, Azure SQL DB, Event Hub, Azure Stream Analytics, Azure Functions, Azure Analysis Service, HDInsight, Databricks, Azure Data Catalog, Purview
Proven experience in the design and implementation of modern data lake/warehouse architecture, in Data Delivery/Analytics, Data Modeling, ETL Tools developing highly automated and documented solutions
Collaborates with peers, junior engineers, data scientists and project team
Understand SAP table structure and mapping

Preferred Qualifications

Experience securing Cloud based modern data platforms
Experience building data management (metadata, lineage, tracking etc.) and governance solutions for modern data platforms
Experience of working with enterprise common data models in SAP HANA, Azure SQL, manufacturing historians, various IoT, subscription and public data sources.
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.
DP-200: Implementing an Azure Data Solution
DP-201-Designing an Azure Data Solution
Microsoft Certified: Azure Data Engineer Associate

Competencies

Builds effective teams

Collaborates

Cultivates innovation

Customer focus

Demonstrates courage

Drives results

Ensures accountability

Instills trust and exemplifies integrity

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 champion our employees, and unlock value for customers, investors and society. LyondellBasell places high priority on diversity, equity and inclusion and is strongly committed to our planet, the communities where we operate and our future workforce. 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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