Data Engineer I

At DHL Supply Chain, this Data Engineer I role focuses on designing and improving data pipelines so teams can rely on consistent, accessible information. You will build and maintain data flows and models, integrating systems while collaborating with cross-functional partners to support business objectives. Key Responsibilities Improve data accessibility and usability for developers, architects, analysts, and data scientists. Maintain alignment and consistency across projects by adhering to established data delivery architecture standards. Recommend and implement data pipeline designs that optimize data flow for cross-functional teams. Design, build, and deploy data processes that support multiple systems and products. Develop and sustain data workflows for modeling, mining, and production, including identifying opportunities for new data acquisition and integration. Use a range of languages and tools to integrate systems and enhance data reliability, efficiency, and quality. Architect, build, and launch data models that strengthen analytics capabilities and support business objectives. Collaborate with cross-functional partners to ensure data initiatives align with organizational goals and stakeholder needs. Required Qualifications Bachelor’s degree in Business, Logistics, Mathematics, Statistics, or a related field, or 4 years of equivalent professional experience (required). 1+ years of experience in data engineering or a related technical role (required). Hands-on experience developing and managing data pipelines (required). Strong understanding of SQL and experience with database management systems such as MySQL, PostgreSQL , or SQL Server (required). Proficiency in programming languages such as Python, Java, or Scala (required). Familiarity with data warehousing solutions and experience working with large datasets (required). Knowledge of data modeling, ETL processes, and data warehousing concepts, particularly within Azure environments (required). Preferred Experience Experience with Azure Data Factory , Azure Databricks , or Azure Synapse Analytics (preferred). Ability to work with data visualization tools such as Power BI (preferred). Understanding of data governance and data quality principles (preferred). Technologies SQL , MySQL , PostgreSQL , SQL Server , Python , Java , Scala , data pipelines, data warehousing solutions, data modeling, ETL processes, Azure environments, Azure Data Factory , Azure Databricks , Azure Synapse Analytics , Power BI . Benefits Competitive wages. Excellent insurance benefits (health, dental, vision, life). 401K plan. Paid vacation and holidays. Opportunities for career growth. Location and Experience Level Location: Whiteland, IN (onsite). Experience: Minimum 1 year. #J-18808-Ljbffr DHL