Java Developer for Data Processing
2 weeks ago
We are seeking a highly skilled Java Spark Developer to join our team. As a key member of our data engineering team, you will be responsible for designing, developing, and implementing high-performance, scalable, and reliable applications using Java and Apache Spark.
Key Responsibilities:- Design, develop, and maintain Java applications leveraging Apache Spark for distributed data processing and analytics.
- Collaborate with data engineers and data scientists to implement data pipelines, ETL processes, and machine learning workflows using Spark.
- Optimize and tune Spark jobs to ensure efficient utilization of computing resources and high throughput for data processing tasks.
- Integrate Java applications with Spark clusters, leveraging Spark's APIs and libraries for data manipulation, transformation, and analysis.
- Develop and deploy real-time and batch processing applications using Spark Streaming and Spark SQL for data ingestion and analysis.
- Implement data caching, partitioning, and parallel processing techniques to optimize Spark job performance and resource utilization.
- Work with cloud-based platforms and big data technologies to deploy and manage Spark-based applications in distributed environments.
- Collaborate with cross-functional teams to understand business requirements, data models, and analytics use cases, and implement relevant solutions using Spark.
- Bachelor's degree in Computer Science, Engineering, or a related field.
- Proven experience as a Java Developer (8 years) with hands-on experience in Apache Spark for data processing and analytics (2+ years).
- Java 11 version, Spring boot, Spring framework, Microservices, basics around SQL, Database (No SQL preferred), Message platform (like Kafka / JMS / MQ equivalent).
- Strong proficiency in Java programming language with a focus on scalable and distributed systems.
- Experience with Apache Spark, Spark Streaming, Spark SQL, and related Spark ecosystem tools and libraries.
- Knowledge of big data technologies such as Hadoop, HDFS, and distributed computing frameworks for large-scale data processing.
- Strong understanding of data structures, algorithms, and database technologies for data manipulation and analytics.
- Experience with Agile development methodologies and tools (e.g., Certification in Apache Spark or related big data technologies is advantageous).
Apply now and take the first step towards a challenging and rewarding career as a Java Spark Developer
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