L3 JAVA HADOOP SUPPORT

Job Summary

We are seeking a highly skilled and motivated Java Hadoop Engineer with strong technical expertise in backend development, database management, and big data technologies. The ideal candidate will have a solid foundation in object-oriented programming, scripting, and distributed computing, along with excellent problem-solving and communication skills.

Key Responsibilities

  • Design, develop, and maintain scalable backend applications using Java and C/C++.

  • Write efficient and optimized SQL queries for Sybase ASE/IQ and DB2 environments.

  • Develop automation scripts using Shell, Perl, JavaScript, or Python to support system operations and data processing.

  • Work with big data technologies such as Apache Spark, Hadoop, and HDFS to manage and analyze large-scale datasets.

  • Perform in-depth debugging and root cause analysis of complex technical issues in development and production environments.

  • Collaborate with cross-functional teams to define, design, and deliver new features and enhancements.

  • Clearly communicate technical concepts and solutions to both technical and non-technical stakeholders.

  • Contribute to continuous improvement initiatives in code quality, system performance, and team processes.

Required Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or a related field.

  • 5+ years of experience in software development with a strong focus on Java and C/C++.

  • Proficiency in SQL and experience with relational databases (Sybase ASE/IQ, DB2).

  • Hands-on experience with scripting languages: Shell, Perl, JavaScript, or Python.

  • Solid understanding of distributed systems, cluster computing, and big data frameworks.

  • Strong analytical and debugging skills with a proactive approach to problem-solving.

  • Excellent verbal and written communication skills in English.

Preferred Qualifications

  • Experience working in Agile/Scrum environments.

  • Familiarity with CI/CD tools and DevOps practices.

  • Knowledge of cloud platforms (AWS, Azure, GCP) is a plus.

  • Experience with monitoring and logging tools (e.g., Splunk, Prometheus, G

Vista general de empleo

  • Fecha de publicación:
  • Fecha de vencimiento: 20 agosto, 2025
  • Ubicación: CIUDAD DE MÉXICO (México)
  • Nombre del cargo: L3 JAVA HADOOP SUPPORT
  • Modalidad Virtual
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