Data Engineer

4 weeks ago

Erlanger, Kentucky, United States Archer Daniels Midland Company Full time
Job Description

Data Engineer - Data Analyst Returnship (On-site - Erlanger, KY)

The Data Engineer / Data Analyst will join a team passionate about engineering data solutions to inform business decisions and transform business performance.

ADM's environment continuously integrates and deploys data products and analytics driving business value. The Data Engineer is responsible for delivery, adherence to standards, and mentoring junior team members.

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.

We are offering a 12-week paid returnship from September to December 2024 for experienced professionals ready to return to the workforce.

Career break reasons may include but are not limited to:

  • Starting or raising a family
  • Military Service / military spouse
  • Community service / volunteer work
  • Caring for a family member
  • Entrepreneurship

Key Responsibilities:

  • Design, build, refactor, and maintain data pipelines using Microsoft Azure, SQL, Azure Data Factory, Azure Synapse, Databricks, Python, and PySpark to meet business requirements for reporting, analysis, and data science
  • Teach, adhere to, and contribute to DataOps and MLOps standards and best practices to accelerate and continuously improve data system performance
  • Design, and integrate fault tolerance and enhancements into data pipelines to improve quality and performance
  • Perform root cause analysis and solve problems using analytical and technical skills to optimize data delivery and reduce costs
  • Mentor more junior Data Engineers

Requirements:

  • Bachelor's or Master's degree in computer science, software engineering, information technology or equivalent combination of data engineering professional experience and education
  • 3+ years proven Data Engineering experience
  • Demonstrated experience with Microsoft Azure, SQL, Azure Data Factory, Azure Synapse, Databricks, Python, PySpark, Power BI or other cloud-based data systems
  • Demonstrated experience with Azure DevOps, GitHub, CI/CD
  • Demonstrated experience with database storage systems such as cloud, relational, mainframe, data lake, and data warehouse
  • Demonstrated experience building cloud ETL pipelines using code or ETL platforms utilizing database connections, APIs, or file-based
  • Demonstrated experience with data warehousing concepts and agile methodology
  • Demonstrated experience designing and coding data manipulations applying processing techniques to extract value from large, disconnected datasets
  • Continuous learning to upskill data engineering techniques and business acumen

We encourage you to apply even if you don't meet every requirement listed. We are committed to attracting and retaining a diverse workforce and creating welcoming, truly inclusive work environments.

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.

We are committed to ensuring all qualified applicants receive consideration for employment regardless of race, color, ethnicity, disability, religion, national origin, gender, gender identity, gender expression, marital status, sexual orientation, age, protected veteran status, or any other characteristic protected by law.

We welcome everyone to apply, especially those individuals who are underrepresented in our industry, as we strive to ensure our workforce represents the world that we help to feed: people of color, women, gender non-conforming, LGBTQIA+, veterans and persons with disabilities.

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