Digital Transformation Data Engineer
2 semanas atrás
Maersk Technology Overview
We are a global organization dedicated to revolutionizing trade through digital transformation. Our IT organization consists of over 4,000 skilled professionals working together to develop innovative solutions that meet customer needs.
About the Role
As a Data Engineer, you will be part of our Transported by Maersk Platform Portfolio, focusing on streamlining and automating container shipping operations through advanced software solutions. You will work closely with business and technology colleagues to build the analytical backbone of our equipment management application, enabling the business to optimize the use and flow of empty containers globally.
Key Responsibilities
- Care about data as a product that must continuously evolve to improve, producing high-quality data as a foundation for our products by building and improving data pipelines on top of data from source systems.
- Have a continuous focus on providing business value while ensuring technical sustainability, including maintainability, reliability, performance, and availability.
- Work with data and analytics experts to expand the functionality and possible use cases for our datasets that meet functional/non-functional business requirements.
- Promote and drive adoption of cutting-edge data engineering practices within the team.
- Ensure high quality and low cycle times through modern development practices and automation.
- Maintain infrastructure to develop, test, and run our products on Microsoft Azure.
- Engage in discussions on technical design and architecture, both in your team and across Maersk's Communities of Practice.
- Collaborate with product owners on converting business needs into solutions.
- Support our product operations with instrumentation and monitoring and respond to incidents.
About You
We are looking for an experienced Data Engineer with a strong background in Python, big data technologies, and cloud computing. Key skills include:
- Technical proficiency in Python and complementary programming languages, databases, and data processing frameworks.
- Experience with platforms like Hadoop, Spark, Kafka, etc.
- Cloud computing experience with Microsoft Azure Platform.
- Adaptability and flexibility to adjust strategies based on changing requirements.
- Attention to detail in designing and managing data pipelines.
- Continuous learning commitment to staying updated with industry trends.
- Capability to guide and mentor junior team members.
- Problem-solving skills to solve complex data infrastructure issues.
Benefits
We offer a competitive salary of $120,000 per year, flexible working hours, and attractive compensation packages, including fully paid parental leave. Additionally, we provide extensive professional training programs and communities of practice to support your continuous professional and personal development.
Diversity and Inclusion
We are committed to a diverse and inclusive workplace, embracing different styles of thinking. We welcome applicants without regard to race, color, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law.
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