Data Engineer 1

Role: Data Engineer 1 Location: Peoria , IL (Onsite) Let's create our future together at The AES Group! About The AES Group The AES Group is a premier technology and engineering consulting company that has been bringing businesses and talent together for over 20 years to deliver innovative solutions that make a positive impact. We help organizations modernize their technology through cloud, data, AI, engineering, cybersecurity, and emerging technologies. Job Summary Position s Contributions to Work Group: Data Engineer with deep knowledge of datasets, driving identification and resolution of data quality gaps through advanced analytics. Translates complex data into clear visual insights to highlight trends and support informed, data-driven decision-making. What You Will Have • Business Statistics: Knowledge of the statistical tools, processes, and practices to describe business results in measurable scales; ability to use statistical tools and processes to assist in making business decisions. • Analytical Thinking: Knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems. • Machine Learning: Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services. • Programming Languages: Knowledge of basic concepts and capabilities of programming; ability to use tools, techniques and platforms in order to write and modify programming languages. • Requirements Analysis: Knowledge of tools, methods, and techniques of requirement analysis; ability to elicit, analyze and record required business functionality and non-functionality requirements to ensure the success of a system or software development project. Education & Experience Required • Years of experience: 2+years • Degree requirement: BS Degree; Open for Masters; Associate Degree 5 years exp Top 3 Skills • Data Engineering & Data Modeling • ETL/ELT development • Data pipelines • Data warehousing • Data quality management • Advanced Analytics & Machine Learning • Statistical analysis • Machine learning algorithms • Feature engineering • NLP and text analytics • Data Visualization & Business Storytelling • Power BI/Tableau expertise • Executive reporting • Data-driven recommendations • Stakeholder presentation Additional Technical Skills (Required) • Expertise in Python & SQL (advanced querying, data manipulation) • Strong experience in data visualization & storytelling (Power BI/Tableau) • Hands-on experience with cloud platforms (AWS/Azure/GCP) and modern data warehouses (Snowflake/BigQuery) • Solid understanding of data engineering fundamentals (ETL, data modeling, pipelines) • Experience with supply chain, capacity planning, and/or inventory management concepts. • Strong foundation in machine learning and statistics Soft Skills (Required) • Strong business acumen and problem-solving skills • Excellent communication and stakeholder management skills • Demonstrated ability to partner with IT teams to translate business requirements into technical solutions Typical Task Breakdown • 8 hr in office ( 8 -4pm) • What You Will Do: • Support the development, testing, and delivery of business intelligence solutions, tools, and services for supply chain and capacity planning. • Gather and document business requirements, create functional requirement documents, perform validation testing, and support successful implementations. • Serve as a subject matter expert and data/reporting owner for key business processes, responding to inquiries from internal stakeholders and business partners. • Support daily production and reporting processes across multiple business and technical platforms. • Develop, maintain, and enhance Power BI reports, dashboards, and analytics solutions. • Troubleshoot complex system and data issues, identify root causes, and implement high-quality solutions. • Lead or contribute to medium- and large-scale projects, collaborating with cross-functional business and IT teams.