Data Engineer I

Job Description

Your Responsibilities

Do you want to join a team passionate about engineering data solutions to inform business decisions and transform business performance? ADM is seeking a Data Engineer, someone who thrives in an environment continuously integrating and deploying data products and analytics driving business value. The Data Engineer is a team player who sees problems as challenges to be creatively solved in collaboration with other data engineers, data scientists, and business colleagues. The ideal candidate is a driven learner who develops and sharpens skills building data pipelines, transforming raw data into useful data systems, and optimizing the data delivery architecture.

• Learn to design, build, refactor, and maintain data pipelines using Microsoft Azure, Databricks, SAP Datasphere, SQL, Azure Data Factory , Python, and PySpark to meet business requirements for reporting, analysis, and data science
• Participate in designing, and integrating fault tolerance and enhancements into data pipelines to improve quality and performance
• Monitor data pipelines using analytic tools to develop actionable insights into performance issues
• Perform root cause analysis and solve problems using analytical and technical skills to optimize data delivery and reduce costs
• Adhere to code standards and DataOps and MLOps best practices to accelerate and continuously improve data system performance
  
  

Your Profile

• 2+ years proven Data Engineering experience
• Bachelor’s degree in computer science, software engineering, information technology or equivalent combination of data engineering professional experience and education.
• Knowledge of Microsoft Azure, SQL, Databricks, SAP Datasphere, Azure Data Factory, Python, PySpark, Power BI or other cloud-based data systems
• Knowledge of Azure DevOps, GitHub, CI/CD are a plus
• Working knowledge of relational database systems
• Task management and organizational skills
• Knowledge of or demonstrated experience building cloud ETL pipelines using code or ETL platforms utilizing database connections, APIs, or file-based
• Knowledge of data manipulations and processing techniques to extract value from large, disconnected datasets
• Continuous learning to upskill data engineering techniques and business acumen
  
  

#IncludingYou

Diversity, equity, inclusion and belonging are cornerstones of ADM’s efforts to continue innovating, driving growth, and delivering outstanding performance. We are committed to attracting and retaining a diverse workforce and create welcoming, truly inclusive work environments — environments that enable every ADM colleague to feel comfortable on the job, make meaningful contributions to our success, and grow their career. We respect and value the unique backgrounds and experiences that each person can bring to ADM because we know that diversity of perspectives makes us better, together.

For more information regarding our efforts to advance Diversity, Equity, Inclusion & Belonging, please visit our website here: Diversity, Equity and Inclusion | ADM.

About ADM

At ADM, we unlock the power of nature to provide access to nutrition worldwide. With industry-advancing innovations, a complete portfolio of ingredients and solutions to meet any taste, and a commitment to sustainability, we give customers an edge in solving the nutritional challenges of today and tomorrow. We’re a global leader in human and animal nutrition and the world’s premier agricultural origination and processing company. Our breadth, depth, insights, facilities and logistical expertise give us unparalleled capabilities to meet needs for food, beverages, health and wellness, and more. From the seed of the idea to the outcome of the solution, we enrich the quality of life the world over. Learn more at www.adm.com.

Req/Job ID

97994BR

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