Data Engineer

Infor is hiring a Data Engineer to join our Cloud Operations Machine Learning (COML) team. This position will play a pivotal role in deploying models and analyses into production on AWS, building and maintaining ETL (Extract, Transform, Load) pipelines, and optimizing SQL queries for performance. The Data Engineer will lead projects and initiatives, write and debug analytical code, translate business problems into mathematical models, monitor and maintain production systems, and ensure the analytical integrity of deployed solutions.

Infor’s customers rely on our cloud infrastructure for critical business operations—from payroll processing to customer communications. Any disruption can significantly impact their business. The COML team leverages vast operational data to develop and deploy AI/ML solutions that improve system performance, uptime, and ultimately, customer satisfaction and retention.

• Build and deploy scalable data pipelines and ML models in AWS.
• Review and debug analytical code to ensure production stability.
• Maintain and monitor deployed models and ETL workflows.
• Collaborate with stakeholders to translate business needs into data solutions.
• Align with team goals and track progress on initiatives.
• Coordinate cross-functionally to meet project timelines.
• Define data requirements and design efficient queries.
• Support data needs of scientists and business partners.

• Corporate experience in data engineering or software development.
• Experience writing and maintaining Python code for data processing, automation, or application development.
• Experience using SQL for complex queries, data modeling, and performance tuning in enterprise-scaled databases.
• Experience deploying time series data ETL pipelines in a corporate environment.
• Experience working in a cloud environment.
• Legal authorization to work permanently in the United States for any employer without requiring a visa transfer or visa sponsorship now or in the future.

• Bachelor’s degree in Computer Science, Data Science, Mathematics, Statistics, Economics, Physics, or Engineering.
• Experience with Influx
  
  DB, AWS Redshift, Athena, Lambda, and Apache Data Fusion.
• Experience with Git and Docker.
• Knowledge of Sumo Logic.
• Understanding of AWS ecosystem (Athena, Lambda, S3, etc.).
• Experience designing and deploying data pipelines and data science solutions in the cloud.
• Experience in data transformation and algorithm development.
• Data Engineering Certifications.

Infor is where ambition meets impact. Join a global community of bold thinkers and innovators, where your expertise doesn’t just solve problems. it shapes industries, unlocks opportunities, and creates real-world impact for billions of people. At Infor, you’re not just building a career. you’re helping to build what’s next.

Infor is a global leader in business cloud software products for companies in industry specific markets. Infor builds complete industry suites in the cloud and efficiently deploys technology that puts the user experience first, leverages data science, and integrates easily into existing systems. Over 60,000 organizations worldwide rely on Infor to help overcome market disruptions and achieve business-wide digital transformation.

At Infor, we strive for an environment that is founded on a business philosophy called

Principle Based Management ™ (PBM™) and eight Guiding Principles: integrity, stewardship & compliance, transformation, principled entrepreneurship, knowledge, humility, respect, self-actualization.

We have a relentless commitment to a culture based on PBM™. Informed by the principles that allow a free and open society to flourish, PBM™ prepares individuals to innovate, improve, and transform while fostering a healthy, growing organization that creates long-term value for its clients and supporters and fulfillment for its employees.

Infor is an Equal Opportunity Employer. We are committed to creating a diverse and inclusive work environment. Infor does not discriminate against candidates or employees because of their sex, race, gender identity, disability, age, sexual orientation, religion, national origin, veteran status, or any other protected status under the law. If you require accommodation or assistance at any time during the application or selection processes, please submit a request by following the directions located in the FAQ section .

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