Senior Data Engineer – Databricks Certified

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🔥 1 hour ago

🏖️ New Jersey – Remote

🏖️ New Jersey – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Derex Technologies Inc

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1996

💼 Consulting

📦 Logistics

🏥 Healthcare

Consulting • Logistics • Healthcare

Derex Technologies Inc. is a global IT services company headquartered in New Jersey, operating since 1996. The company offers a wide range of services including application development, enterprise resource planning (ERP), SAP services, and enterprise content management solutions. Derex specializes in transitioning IT infrastructure from managed services to shared services, data center transformation, and enterprise IT application support. They also provide staff augmentation services. With a strong presence in North America, Canada, Singapore, and India, Derex leverages its extensive industry expertise to help organizations meet their business objectives and solve real-world challenges.

📋 Description

• Must Have: Databricks Certified Data Engineer Professional Certification. • Strongly preferred: Prior experience working in the Databricks Partner Program • Databricks Partner Champion Certificate • Comfortable writing code in either Python or Scala. • Extensive Working knowledge of Databricks is required. • Experience with advanced Databricks concepts such as Genie Spaces, Agents, and Genie Code.

🎯 Requirements

• Sr Databricks Certified Data Engineer Professional Certification. • Strongly preferred: Prior experience working in the Databricks Partner Program • Databricks Partner Champion Certificate • 10+ years of experience in data engineering, data platforms & analytics. • Comfortable writing code in either Python or Scala. • Extensive Working knowledge of Databricks is required. • Experience with advanced Databricks concepts such as Genie Spaces, Agents, and Genie Code. • Experience handling or leading large scale projects/customers. • Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one. • Deep experience with distributed computing with Apache Spark™️ and knowledge of Apache Spark™️ runtime internals • Familiarity with CI/CD for production deployments • Working knowledge of MLOps • Capable of design and deployment of highly performant end-to-end data architectures • Experience with technical project delivery – managing scope and timelines • Documentation and white-boarding skills • Experience working with clients and managing conflicts • Experience in building scalable streaming and batch solutions using cloud-native components.

🏖️ Benefits

• All your information will be kept confidential according to EEO guidelines.