基本信息

国家
チュニジア
城市
チュニス
职位编号
41736
部门
Development
Experience Level
MID_SENIOR_LEVEL
Employment Status
FULL_TIME
Workplace Type
Hybrid

描述和要求

Position Summary:
The Data Engineer (Revenue Management System application) will work on developing the next-generation RMS software and its components built around integrations with third-party vendors and internal applications. He will be part of the Hospitality suite of products that encompasses the full spectrum of hospitality systems (PMS, S&C, RMS and POS). He will make sure to deliver mission-critical revenue management solutions for our customers and most specifically integrations. He will be able to work on challenging tasks and own projects, always keeping user needs and practicality in mind.

We are seeking a skilled Data Engineer to join our team and help us design, build, and optimize data pipelines and infrastructure. The ideal candidate will have a strong background in Python, AWS services, and experience with ETL jobs, API creation. You will work closely with cross-functional teams to ensure efficient data flow, processing, and accessibility for our applications and analytics platforms.

A Day in The Life Typically Includes:
•
Conduct software analysis, programming, testing and debugging which may require extensive research and analysis
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Take part in software and architectural development activities
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Provide support to end users
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Create and maintain technical/workflow documentation
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Work with different programming languages, services and architectures.
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Participate in the development of the next generation cloud native RMS software built on modern multi-tenant architecture
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Design and pilot prototype applications where required.
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Design, build, and maintain scalable ETL pipelines to process large datasets from various sources.
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Develop and manage APIs (including REST and GraphQL) to enable data access and integration across services.
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Collaborate with data scientists, analysts, and developers to ensure seamless data flow and accessibility.
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Utilize AWS services (such as S3, Lambda, Redshift, RDS, Glue, etc.) to architect data solutions.
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Monitor and optimize data pipelines for performance, reliability, and scalability.
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Ensure data quality, integrity, and security across systems.
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Write efficient and clean code in Python (+ C# and Java) to handle data transformation and processing.
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Stay updated with the latest trends and best practices in data engineering and cloud technologies.

Basic Qualifications:
• proven experience in development in the context of business applications, preferably Python + C#(.NET) or Java.
• Proven record with modern development methodologies, including agile, continuous build and unit testing processes with excellent process analysis skills with an eye for optimization and automation.
• Excellent verbal and written communication skills with strong social skills and an effective collaborator mindset

Preferred Qualifications:

• Knowledge/Experience of public cloud service providers, Amazon Web Services (AWS) preferred/ Microsoft Azure, GCP.
• Proven experience as a Data Engineer or in a similar role.
• Strong proficiency in Python and experience with AWS services.
• Experience with ETL processes, including data ingestion, transformation, and loading.
• Knowledge of API development (REST, GraphQL) and best practices.
• Familiarity with relational databases (e.g., PostgreSQL, MySQL) and data warehousing solutions (e.g., Redshift, BigQuery).
• Experience with streaming data technologies like Kafka or Kinesis.
• Interest in using AI services for data preparation, cleansing and anomaly detection.
• Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment.
• Serverless/microservices architecture experience
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Experience with technologies used for integrations (SOAP, Websocket, GraphQL, REST…)
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Interest in Revenue Management/Business context/Data model of the RMS application and integrations
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Strong teamwork spirit and willingness to support your colleagues

关于Infor

Infor是面向特定行业市场的企业提供商业云软件产品的全球领导者。Infor在云中构建完整的行业套件，并有效地部署将用户体验放在首位的技术，利用数据科学，并轻松集成到现有系统中。全球超过60,000家组织依靠Infor来帮助克服市场中断并实现全业务范围的数字化转型。 
更多信息请访问www.infor.com 

Our Values

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. Increasing diversity is important to reflect our markets, customers, partners, and communities we serve in now and in the future.

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 at the bottom of the infor.com/about/careers webpage.

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