Senior Scala Data Engineer

Cynet Systems•Mason, OH

About The Position

Our client is seeking a highly skilled Scala Developer with extensive experience in building large-scale data processing and distributed applications. The successful candidate will possess strong expertise in Scala, Apache Spark, Hadoop, SQL, AWS, and Kafka, with experience developing high-performance, scalable data solutions in cloud environments.

Requirements

  • Strong proficiency in Scala programming.
  • Hands-on experience with Apache Spark and distributed data processing.
  • Experience working with Hadoop ecosystem components.
  • Strong knowledge of SQL and database optimization techniques.
  • Experience with AWS cloud services and cloud-native architectures.
  • Expertise in Apache Kafka for real-time streaming and messaging solutions.
  • Strong understanding of data structures, algorithms, and distributed systems.
  • Experience with Agile development methodologies and version control tools such as Git.

Nice To Haves

  • Experience with Spark Streaming, Structured Streaming, or similar technologies.
  • Familiarity with containerization technologies such as Docker and Kubernetes.
  • Knowledge of CI/CD pipelines and DevOps practices.
  • Exposure to data lake and modern analytics architectures.

Responsibilities

  • Design, develop, and maintain scalable applications and data processing pipelines using Scala and Apache Spark.
  • Build and optimize big data solutions leveraging the Hadoop ecosystem.
  • Develop and maintain real-time and batch data processing frameworks.
  • Design and implement event-driven architectures using Kafka.
  • Write complex SQL queries and optimize data models for performance and scalability.
  • Deploy, monitor, and maintain applications on AWS cloud platforms.
  • Collaborate with architects, data engineers, analysts, and business stakeholders to deliver data-driven solutions.
  • Troubleshoot and resolve production issues while ensuring system reliability and performance.
  • Participate in code reviews and contribute to best practices and technical standards.
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