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Java Developer

Anixsystems — United Arab Emirates · Posted ~6 hours ago

Mid Onsite 18000 AED

Skills

Java Spring Framework Elasticsearch Apache Spark Python Scala Big Data Elasticsearch cluster management Search query optimization Distributed systems Scalable architecture Spring

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Summary ✨ AI‑Generated

A backend development role in a large-scale data and search environment, combining Java and Spring with Elasticsearch and distributed data-processing technologies. You will design and manage search infrastructure, optimize queries and indices, work with large datasets using Spark, Python, and Scala, and contribute to scalable distributed architectures. At least four years of relevant experience is required.

Highlights

The role offers a strong blend of backend Java development, search infrastructure, and big data engineering. It provides opportunities to work with distributed systems, optimize large-scale search workloads, manage Elasticsearch infrastructure, and apply multiple technologies across scalable data-processing environments.

Description

Position: Java Developer Location: AbuDhabi, UAE Salary Budget : 18 K AED Job Purpose: We are seeking a highly skilled Elasticsearch Engineer with a strong technical background in Elasticsearch, Apache Spark, Java, Spring, Python, Scala, and various Big Data tools. The ideal candidate should be a certified Elasticsearch professional with proven expertise in optimizing search queries and Elasticsearch indices. Qualification and Skills  Minimum of 4 years experience in designing, implementing, and managing Elasticsearch clusters and indices  Preferred: Certified Elasticsearch professional with a strong technical background  Strong proficiency in Java and the Spring framework for back-end development  Hands-on experience with Apache Spark, Python, and Scala for Big Data processing  Experience in optimizing search queries and Elasticsearch indices  Solid understanding of distributed systems and scalable architecture  Excellent problem-solving skills and the ability to work in an Agile development environment  Strong communication skills and the ability to collaborate effectively with team members Responsibilities:  Design, implement, and maintain Elasticsearch indices and clusters to ensure efficient data retrieval and storage.  Develop and optimize data processing pipelines using Apache Spark for large-scale data analysis and transformation.  Collaborate with cross-functional teams to integrate Elasticsearch solutions into existing applications and systems.  Implement and maintain scalable and fault-tolerant Java and Spring-based applications.  Work on data modeling, indexing strategies, and query optimization for diverse datasets.  Develop and maintain connectors between various systems and Elasticsearch. Added Advantage  Experience with machine learning frameworks and algorithms  Knowledge of containerization and orchestration tools, such as Docker and Kubernetes  Previous exposure to real-time data processing and analytics