IT Analytical Engineer
Valmont Industries, Inc.
Develop and support BI self-service analytics and data pipelines using Azure.
21 days ago ago
Expert & Leadership (13+ years), Intermediate (4-7 years), Experienced (8-12 years)
Full Time
Omaha, NE
Office Full-Time
Company Size
11,500 Employees
Service Specialisms
Engineering
Manufacturing
Infrastructure
Project Management
Construction
Design
Technical Services
Consulting
Sector Specialisms
Agriculture
Irrigation
Utility
Lighting and Transportation
Telecom
Solar
Coatings
Ag Tech
Role
What you would be doing
data pipelines
azure adf
self-service
lakehouse support
agile development
data modeling
- Identify research questions, problem solve using analytical tools, and communicate the results to various stakeholders.
- Build and support Self-Service solutions for BI Analysts, Stakeholders, and other Business Partners.
- Apply Agile, Waterfall or other similar Application lifecycle methodology to develop the solutions.
- Help define routines and standards for end users to facilitate best-practice use of analytical and visualization tools.
- Provide on-going enterprise data lakehouse technical support and participate in training.
- Contribute to the optimization of data processing and storage strategies to ensure scalability, reliability, and performance of analytics solutions.
- Continuously monitor industry trends, standards and technologies. Research, recommend and apply new technologies as they emerge.
- Enable the deployment of Business Intelligence, Visualization, and Data Science projects as part of the Valmont Data & Analytics Center of Excellence.
- Ensure enterprise data warehouse solutions created under his/her responsibility adhere to departmental standards, appropriate controls and audit trails exist, and are thoroughly tested prior to installation in production environment.
- Contribute to end-to-end data pipelines using DataBricks, Azure services, and Azure Data Factory (ADF) to efficiently process large volumes of structured and unstructured data.
- In conjunction with Data Engineers, BI Analysts, Data Scientists, Data owners and Department managers, develop and model Information Marts and semantic layers for end users.
What you bring
azure
databricks
sql
python
machine learning
bachelor's
- Ability to conduct research into data management issues, practices, and products as required.
- Knowledge of Cloud Database Services: Microsoft Azure SQL Database, Databricks, & Synapse, Snowflake, SAP Hana Cloud.
- Ability and desire to learn the manufacturing and business process supported by IT.
- Bachelor’s or Master’s degree in Business Analytics, Computer Science or MIS.
- Demonstrated ability to prioritize and manage multiple tasks and projects simultaneously.
- Preferred Bachelor’s degree with 3+ years of relevant experience or Associate’s degree with 5+ years of relevant experience or 9+ years of relevant experience.
- Ability to effectively prioritize and execute tasks in a high-pressure environment.
- Certifications in relevant technologies (e.g., Microsoft Certified: Azure Data Engineer Associate).
- Strong customer service orientation.
- Proven analytical and problem-solving abilities.
- Ability to translate and communicate technical messaging to non-technical stakeholders.
- Highly self-motivated and directed individual.
- Basic understanding of data warehousing concepts, dimensional modeling, and ETL processes.
- Good written and oral communication skills.
- Some experience with Python and Machine Learning concepts.
- Effective communication skills with the ability to convey complex technical concepts to non-technical stakeholders.
- Strong technical documentation skills.
- Hands-on Experience with Python or R.
- Experience with DataBricks, Azure services (such as Azure Data Lake Storage, Azure SQL Database, Azure Synapse Analytics), and Azure Data Factory (ADF).
- Proficiency in SQL, data manipulation, analysis, and visualization.
- Project management and problem solving skillsets.
- Experience working in a team-oriented, collaborative environment.
- Experience with Machine Learning models (regression, classification, and applied statistics/probability).
- Experience working in an Agile environment.
- Ability to provide examples of work.
- Strong history of delivering value added solutions to business users.
- Excellent problem-solving skills and attention to detail with the ability to work independently and collaboratively in a team environment.
- Knowledge of Data Warehouse automation tools and ETL processes.
- Keen attention to detail.
- Employer paid short-term and long-term disability including maternity leave
- Paid time off
- Work Life Support
- 401k retirement plan with company match
- Employer paid life insurance
- Healthcare (medical, prescription drugs, dental and vision)
- Tuition Reimbursement up to $5,250 per year
- Voluntary programs like tobacco cessation, Type 2 diabetes reversal, one-on-one health coaching, mortgage services and more
Information not given or found
Interview process
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Visa SponsorshipInformation not given or found
Security clearanceInformation not given or found
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Company
Overview
Over 100 countries
Global Reach
Valmont operates in over 100 countries, providing specialized solutions across diverse industries.
- From a small manufacturer to a global leader in infrastructure and agricultural solutions.
- Designs and manufactures products for utility, communications, transportation, and irrigation industries.
- Provides cutting-edge solutions for water resource management, including center pivots and drip irrigation systems.
- Products serve diverse sectors like energy, agriculture, industrial infrastructure, and water resources.
- A key partner for large-scale infrastructure projects due to its engineering expertise and manufacturing capabilities.
- Long history of providing custom-designed products, such as utility poles, towers, and solar energy solutions.
- A major player in solar energy infrastructure, offering support structures for solar power plants worldwide.
- Center-pivot irrigation systems revolutionized farming efficiency and are now a standard in agricultural technology.
- Innovative and adaptive, continually meeting the evolving needs of its diverse customer base with advanced, sustainable solutions.
- Integrity: We do what’s right, even when no one is watching.
- Innovation: We embrace change and continuously seek to improve.
- Collaboration: We work together to achieve shared goals.
- Customer Focus: We are committed to exceeding customer expectations.
- Accountability: We take responsibility for our actions and outcomes.
- Excellence: We strive for the highest quality in everything we do.
2050 Net Zero Target
Carbon Neutral Goal
Committed to achieving net-zero carbon emissions by the year 2050.
100% Renewable Energy by 2030
Sustainable Operations
100% of energy used in operations will be sourced from renewable sources by 2030.
15% Water Usage Reduction
Water Conservation
Aims to reduce water usage by 15% by 2025.
100% Sustainable Design
Product Design
100% of products are designed to meet sustainability criteria.
- Reduction in carbon footprint through innovative production methods.
- Continuous improvement in material efficiency and recycling efforts.
Women hold 35% of leadership roles
Diverse Representation
35% of global leadership roles are held by women, reflecting a strong commitment to diversity and equal representation across teams.
- Gender pay equity achieved across the company.
- Partnerships with organizations to advance workforce diversity.
- Internal employee resource groups for women, veterans, and diverse communities.
- Diverse hiring goals to increase underrepresented groups in leadership.
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