Join DHL Supply Chain in Whiteland, IN (onsite) and help keep information reliable, accessible, and ready for the business. As a Data Engineer I, you will design and optimize data pipelines, improve data quality, and support analytics needs in collaboration with developers, architects, analysts, and data scientists. If you enjoy building dependable data workflows that connect systems and strengthen decision-making, this role supports both impact and growth.
Responsibilities
- Support developers, architects, analysts, and data scientists by improving data accessibility and usability.
- Maintain consistency across projects by following 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, identifying opportunities for new data acquisition and integration.
- Use multiple languages and tools to integrate systems and enhance reliability, efficiency, and quality of data.
- Architect, build, and launch data models aligned to business objectives and improved analytics capabilities.
- Collaborate with cross-functional partners to ensure data initiatives align with organizational goals and stakeholder needs.
Requirements
- 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 Python, Java, or Scala, required.
- Familiarity with data warehousing solutions and working with large datasets, required.
- Knowledge of data modeling, ETL processes, and data warehousing concepts, particularly within Azure environments, required.
Preferred
- 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.
Benefits
- Competitive wages
- Excellent insurance benefits (health, dental, vision, life)
- 401K plan
- Paid vacation and holidays
- Opportunities for career growth
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
