Java Software Engineer

Avenue Code-posted 14 days ago
$80,000 - $120,000/Yr
Pleasanton, CA
Professional, Scientific, and Technical Services
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We are seeking a highly skilled Specialist Java Developer with hands-on experience in big data processing and analytics. The ideal candidate will design, develop, and maintain scalable data pipelines and applications, leveraging Java, Python, and PySpark on Databricks and cloud-based environments.

  • Design, develop, and maintain high-performance Java applications for data processing and analytics.
  • Build and optimize ETL/ELT pipelines using PySpark on Databricks for batch and streaming data.
  • Collaborate with Data Engineers, Analysts, and DevOps teams to ensure data quality, performance, and scalability.
  • Implement data transformation, aggregation, and integration workflows across multiple sources.
  • Participate in code reviews, testing, and performance tuning to ensure reliable and maintainable solutions.
  • Develop automation scripts and tools using Python to support operational efficiency.
  • Troubleshoot and resolve production issues related to data pipelines and Java applications.
  • Document technical designs, architecture, and data workflows for future reference and compliance.
  • Strong proficiency in Java, with deep understanding of object-oriented design and software engineering best practices.
  • Hands-on experience with Python and PySpark in big data environments.
  • Experience with Databricks, Spark, and distributed data processing frameworks.
  • Knowledge of cloud platforms (AWS, Azure, or GCP) and deploying data workloads.
  • Familiarity with relational and NoSQL databases (PostgreSQL, MySQL, MongoDB, Redshift, etc.).
  • Understanding of data pipelines, ETL processes, and data modeling.
  • Excellent problem-solving, analytical, and collaboration skills.
  • Experience with version control systems (Git) and CI/CD pipelines is a plus.
  • Knowledge of Kafka or other streaming platforms for real-time data processing.
  • Exposure to machine learning pipelines or MLOps workflows.
  • Experience in performance optimization of large-scale distributed systems.
  • Salary range from USD 80k to USD 120k per year.
  • Commitment to privacy and data protection principles.
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