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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Cloud Data Solutions Engineer - **Company:** The Coca-Cola Company - **Location:** Atlanta, GA, United States - **Experience:** Expert - **Salary:** $124,600.0 - $148,200.0 - **Contract:** Permanent contract - **Skills:** Microsoft Excel, Artificial Intelligence, User Authentication, Automation of Tests, Microsoft Azure, Big Data, Microsoft Online Services, Software as a Service, Cloud Database, Cloud Engineering, Software Quality, Code Review, Continuous Integration, Data as a Services, Data Cleansing, Data Files, Database Queries, Web Development, Django Web Framework, Python (Programming Language), Microsoft SQL Server, Pivot Tables, Power BI, Azure Data Lake, SAP (Applications), Software Construction, Software Deployment, Software Engineering, SQL Stored Procedures, SQL Databases, Systems Integration, Transact-SQL, Web Applications, Web Application Frameworks, Azure Data Factory, Large Language Models, Prompt Engineering, Generative AI, Rate Limiting, Git, Powerquery, Build Management, Data Lakes, Information Technology, Deployment Automation, Data Analytics, Restful APIs, Software Version Control, Data Pipelines, Atlassian Bamboo, Databricks - **Published:** August 2, 2026 - **Apply:** https://coke.wd1.myworkdayjobs.com/coca-cola-careers/job/US---GA---Atlanta/Manager--Procurement-Information-Technology_R-140023 ## About the Role * Strong Python development experience, including building web applications with Python frameworks (Django preferred). * Hands-on Azure cloud experience (Data Factory, Synapse Analytics, Data Lake Storage) and CI/CD pipelines. * Solid software engineering fundamentals: Git, automated testing, code review, and deployment. * Strong SQL skills (T-SQL / SQL Server) with complex queries, CTEs, views, and stored procedures. * Experience integrating REST APIs, with a clear understanding of authentication, rate limiting, and error handling. * Experience handling, cleaning, merging, and transforming large datasets. * Strong analytical thinking, attention to detail, and clear written and verbal communication., * Power BI, SAP, and advanced Excel (pivot tables, charts, Power Query). * Data analytics, insight generation, and basic predictive modeling. * Familiarity with AI/ML ecosystems (LLM inference, prompt engineering, RAG pipelines) and building agentic AI for process automation. * Procurement, supply chain, or logistics domain experience., * Bachelor's degree required, with preference for Computer Science, Software Engineering, or a related quantitative or engineering field. Master's degree is a plus., * Minimum 5-7 years of building and deploying software, with demonstrated hands-on experience in Python and cloud development (Azure preferred)., Agentic Design, Agentic Design, AI Agents, Analytical Thinking, Azure Data Factory, Azure Data Lake, Azure Pipelines, Business Optimization, CI/CD, Collaboration, Critical Thinking, Data Analytics, Databricks Platform, Data Cleansing, Data Frames, Data Modeling, Dataset Management, Detail-Oriented, Django Web Framework, Excel Query, Generative AI Agents, Large Language Models (LLMs), Microsoft Azure, Microsoft Cloud, Microsoft Excel {+ 9 more} ## Description We are looking for a Cloud Data Solutions Engineer to design and build cloud-based applications and data services that power our Strategic Ingredient Supply (SIS) operations. This is a hands-on, build-focused role centered on Python web development and Azure cloud engineering. You will own the full development lifecycle of web tools and data pipelines, working closely with the SIS data team and category managers to turn business needs into reliable, well-engineered software., * Design, build, and maintain Python web applications (Django preferred) on Azure that deliver supply chain tools and self-service analytics. * Build and operate data pipelines and services on Azure (Data Factory, Synapse Analytics, Data Lake Storage) following CI/CD and software engineering best practices. * Integrate internal and external REST APIs, handling authentication, rate limiting, retries, and error handling. * Write and optimize SQL (T-SQL / SQL Server), including complex queries, CTEs, views, and stored procedures. * Own code quality across version control, testing, code review, documentation, and deployment automation. * Collect, model, and safeguard procurement and supply chain data from diverse sources, feeding visualization platforms such as Power BI. * Partner with stakeholders to translate requirements into technical solutions and serve as a technical resource on the data team. * Protect company and partner information and comply with security and confidentiality standards., * Build the tools and platforms that drive strategic procurement decisions, using modern cloud and Python technologies. * Work as a hands-on engineer with real ownership of what you ship. * Collaborate across functions and contribute to operational improvements and the company's global success. If you enjoy building well-engineered software on the cloud and turning business needs into reliable tools, we encourage you to apply. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) ## Related Articles - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)