Java Backend Developer with PySpark - The Value Maximizer : Job Details

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Location: Pittsburgh, PA, Dallas, TX, Cleveland, OHJob Type: Full-TimeExperience: 13+ YearsJob SummaryWe are seeking a skilled Java Backend Developer with PySpark experience to join our dynamic engineering team. The ideal candidate will have a strong foundation in backend development using Java and hands-on experience working with large-scale data processing using PySpark. You will contribute to building scalable APIs, robust data processing pipelines, and backend systems that support complex business workflows and analytics.Key Responsibilities

• Develop and maintain scalable backend services and APIs using Java (Spring Boot or similar frameworks)
• Design and implement data pipelines using PySpark for processing and transforming large datasets
• Integrate backend services with data platforms, databases, and external APIs
• Collaborate with data engineers, analysts, and product teams to understand requirements and deliver solutions
• Optimize performance of backend applications and Spark jobs
• Write unit tests and participate in code reviews to maintain code quality
• Ensure secure, reliable, and maintainable backend infrastructure

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• Strong experience in Java (Java 8 or above), with a solid understanding of object-oriented design and microservices architecture
• Hands-on experience with Apache Spark and PySpark for distributed data processing
• Good understanding of RESTful API design and implementation
• Familiarity with SQL and working knowledge of relational and/or NoSQL databases
• Experience with version control systems like Git and CI/CD practices

Preferred Qualifications

• Experience with Spring Boot, Hibernate, or similar Java frameworks
• Familiarity with big data tools (HDFS, Hive, Kafka, etc.)
• Exposure to cloud platforms such as AWS, GCP, or Azure
• Understanding of containerization and orchestration tools (Docker, Kubernetes)
• Knowledge of data lake/data warehouse architectures

Soft Skills

• Strong analytical and problem-solving skills
• Excellent communication and collaboration abilities
• Self-starter with a strong sense of ownership and accountability

Why Join Us?

• Work on high-impact data-driven products and services
• Be part of a fast-paced, innovative, and supportive team
• Opportunity to grow your expertise across backend development and big data engineering

Seniority level

• Seniority levelMid-Senior level

Employment type

• Employment typeFull-time

Job function

• Job functionOther
• IndustriesIT Services and IT Consulting

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