Senior Java Developer

4 days ago


Mississauga, Ontario, Canada CG Consulting Group Full time
About the Role

We are seeking a highly skilled Sr Java Developer to join our dynamic team at CG Consulting Group. 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.
Requirements
  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Proven experience as a Java Developer with hands-on experience in Apache Spark for data processing and analytics.
  • 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.
  • Familiarity with cloud platforms such as AWS, Azure, or GCP for deploying and managing Spark applications.
  • Strong understanding of data structures, algorithms, and database technologies for data manipulation and analytics.
  • Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
  • Experience with Agile development methodologies and tools (e.g., JIRA, Git) is preferred.
  • Certification in Apache Spark or related big data technologies is advantageous.

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