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Principal Data Engineer
Il y a 2 mois
About KION Group
At KION Group, we are revolutionizing our data landscape by building a cutting-edge Enterprise Data Lakehouse Platform. We are forming two pivotal platform teams that will spearhead the creation of the platform's foundational components. These teams go beyond traditional data ingestion; they are architects of a microservices-driven platform, providing abstractions that empower other teams to seamlessly extend the platform.
Role Overview
We are seeking a dynamic and highly skilled Principal Data Engineer to lead these foundational efforts. This role demands someone who not only possesses a profound understanding of the data engineering landscape but is also at the forefront of their game. The ideal candidate will contribute significantly to platform development, leading a team of contractors while actively shaping the future of our data ecosystem.
What We Offer
- Career Development
- Competitive Compensation and Benefits
- Pay Transparency
- Global Opportunities
What We Are Looking For:
- Architect, design and develop core data platform components with a microservices architecture, abstracting platform, and infrastructure intricacies.
- Create and maintain essential data platform SDKs and libraries, adhering to industry best practices.
- Design and develop connector frameworks and modern connectors to source data from disparate application both on-prem and cloud.
- Design and optimize data storage, processing, and querying performance for large-scale datasets using industry best practices.
- Design and develop data quality frameworks and processes to ensure the accuracy and reliability of data.
- Collaborate with data scientists, analysts, and cross functional teams to design data models, database schemas and data storage solutions.
- Design and develop advanced analytics and machine learning capabilities on the data platform.
- Design and develop observability and data governance frameworks and practices.
- Stay up to date with the latest data engineering trends, technologies, and best practices.
- Drive the deployment and release cycles, ensuring a robust and scalable platform.
Tasks and Qualifications:
- 10+ (for senior) 15+ (for principal) of proven experience in modern cloud data engineering, data architectures, and data warehousing.
- Strong understanding of distributed systems, cloud computing platforms (e.g., AWS, Azure), and containerization technologies (e.g., Docker, Kubernetes).
- Experience with big data technologies such as Hadoop, Spark, and Kafka.
- Proficiency in SQL and experience with NoSQL databases.
- Excellent communication, collaboration, and problem-solving skills.
