Data Engineer - Modeler

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 (DACOE) 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.

This role is within the Data Enablement team, customer-facing and foundational delivery and end-user empowerment branch of the DACOE, reporting to the Senior Manager.

We are seeking a skilled and motivated Data Engineer / Modeler to join our Data Enablement team that is focused on the development, maintenance, and optimization of our data infrastructure.

The team specializes in core data modeling development to build and support core foundational models that align with our business stakeholders and their goals.

The Data Engineer / Modeler is a key member of the team responsible for providing solutions to digital age data challenges through design and implementation of an ecosystem of Cloud solutions to support AI, Machine Learning and other modern data technologies.

This role will be responsible for designing, developing, optimizing, refactoring and standardizing data models, data pipelines along with creating robust curated data models for data publishing while complying with published standards and adding value to, the data architecture.

The ideal candidate will have a deep understanding of data modeling concepts, with specific expertise in building Enterprise Data Models.

The Data Engineer / Modeler will play a crucial role in designing, developing, and maintaining data models that support our organization's data analytics initiatives

The Data Engineer / Modeler will also be responsible for collaborating with other data engineers and developing cloud-native solutions with low time to market by leveraging DevOps methodologies.

This individual will evangelize and implement the modern practices in data engineering that address scale and are essential for digital transformation through high value driven projects.

Roles & Responsibilities

• Work closely with other data modelers, platform engineers, data architects, 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 platforms.
• 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 software engineering teams regarding technology and best practices.
• Manage assigned activities within time, cost and technical objectives. May manage small projects with internal or external resources.
• Person specification - (Typical knowledge, qualifications and experience required for the .

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
• Experience in data warehouse and ETL design and development using SQL on RDBMS and MPP databases
• At least 3-5 years' experience with Snowflake
• Experience in development on Cloud (PaaS) Data Solutions, Azure preferred
• Min 3-5 years hands-on experience in managing SQL Managed Instance databases, including writing SQL queries, creating stored procedures, and optimizing database performance.
• Min 3-5 years of experience in MS PaaS data services (examples include Azure data factory, Azure data lake store, Azure function apps, Azure SQL / Data Warehouse,
• Min 3-5 years of experience in developing, designing, and deploying end to end batch / real-time solutions.

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Preferred Qualifications

• Experience securing Cloud based modern data platforms
• Experience with Data Modeling tools like Erwin
• Experience building data management (metadata, lineage, tracking and governance solutions for modern data platforms
• Experience of working with source data systems like SAP ECC, BW, 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
• SnowPro Core or SnowPro Advanced Certifications
• Microsoft Certified : Azure Data Engineer Associate

Competencies

Build PartnershipsDeliver ResultsDrive InnovationGrow CapabilitiesPromote InclusionMotivational / Cultural FitTechnical Skills

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.