US LBM is one of the leading and fastest growing distributors of specialty building materials in the United States, with a team of over 15,000 employees located throughout the country. Since our founding in 2009, we have acquired over 70 companies and have expanded to more than 500 locations serving 37 states. US LBM is a progressive organization that promotes a unique culture that focuses on the value of its customers and associates. Developing our people is critical to our strategy and fostering our culture of empowerment.
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A Brief Overview
The US LBM Data Engineer will help cultivate the culture of data-driven decision-making across our business and will be part of the data and analytics team. From business analytics to pricing optimization to purchasing decisions, the analytics team brings the power of our extensive data assets and capabilities to bear on USLBM's most important decisions. This position will be part of the development team that owns all aspects of data processing including data warehouse architecture, modeling and ETL Processing from beginning to end including opportunity identification, problem scoping, framing analysis, execution of analysis, and presenting results in a tangible and digestible way to stakeholders and executives.
What you will do
Partner with business stakeholders to gather requirements and translate them into technical specifications and process documentation for IT counterparts (on-prem and offshore).
Work with business and technical teams to solve problems and assist management by practically applying data-based decisions.
Design, build and manage data pipelines for data structures encompassing data transformation, data models, schemas, metadata, and workload management.
Develop a deep understanding of operations, data, data sources, and data integration with a view to creating deep and meaningful insights that drive business value.
Work with the Data Product team to identify and import data from a variety of ERP sources into our cloud-based environment to support future analytics needs.
Develop and ensure adherence to published system architectural decisions and development standards.
Multi-task across several ongoing projects and daily duties of varying priorities as required.
Interact with technical teams to communicate business requirements and collaboratively build data solutions.
Understand the basics of data science and data science platforms to work with data science teams in refining and optimizing data science and machine learning models and algorithms.
Implement, manage, troubleshoot and resolve any Oracle Cloud GL issues.
Work with data governance and data security teams when moving data pipelines into production with appropriate data quality, governance and security standards and certification.
Assist in the development and implementation of process improvements in the areas of data analysis, reporting and communication.
Adheres to Company’s commitment to workplace safety.
Education Qualifications
Bachelor's Degree in a quantitative field with 7 years of experience or Master’s Degree with 5 years of experience.
Experience Qualifications
7+ years of experience working in ETL positions in operational environments or business consulting organizations.
Skills and Abilities
Working knowledge of maintaining and reconciling general ledger accounts ensuring accuracy and completeness to financial data is preferred based on project needs.
ETL/ELT, data replication/CDC, message-oriented data movement, API design and access.
Hands on experience in Matillion as the ETL tool.
Any experience in Oracle data integrator is a plus, but not a must.
Experience with Snowflake cloud data platform including Snowflake utilities like Snow SQL, Snow Pipe. Snowflake certification is a huge plus.
Strong expertise in data modeling and building Logical Data Model (LDM), and Physical Data Model (PDM), Star/Snowflake Schema to assist in fast reporting and BI dashboards.
Must have exposure with development, configuration, and deployment on Azure Cloud technologies.
Experience with programming languages, including Python, R and Java, SQL, PL/SQL for relational databases.
Exposure to reporting tools using Tableau or MicroStrategy.
Experience in automation the test cases for regression testing, integrating testing as part of the automation / DevOps pipeline.
Understanding of financial processes and accounting principles.
Excellent communication skills with a track record of successfully advocating to turn insights into action.
Competencies
Customer Focus - Building strong customer relationships and delivering customer-centric solutions
Accountability – holding self and others accountable to meet commitments.
Communicates Effectively - Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
Decision Quality - Making good and timely decisions that keep the organization moving forward
Being Resilient - Rebounding from setbacks and adversity when facing difficult situations
Tech Savvy - Anticipating and adopting innovations in business-building digital and technology applications
Collaborates - Building partnerships and working collaboratively with others to meet shared objectives
Travel Requirements
10% Travel.
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US LBM Holdings, LLC, is an equal-opportunity employer. We do not discriminate on the basis of race, color, religion, creed, national origin or ancestry, sex, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, marital status, military status, order of protection status, or any other legally recognized protected basis under federal, state, or local law.
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