Java Backend Developer

Java Backend Developer

Visa Status: ALL ARE OKAY (No H1B)
Location: Phoenix, Arizona (Relocation is okay, They would like to have them there before hand day 1)

Contract Length: Long Term
Years Experience: 5+ Years of Experience

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Position Overview: We are seeking a skilled and experienced Java Developer with a strong background in big data technologies to join our dynamic team working on a large Finance portfolio. The ideal candidate should have at least 5 years of recent hands-on experience in agile development, specifically focused on building robust big data capabilities using Apache Spark and HIVE, primarily utilizing Java and Python. The successful candidate will play a pivotal role in designing, developing, and testing innovative solutions that leverage big data technologies to enhance our Finance portfolio's performance.

Key Responsibilities:

• Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications for big data solutions.
• Design, develop, and implement efficient and scalable big data applications using Java, Python, and other relevant technologies.
• Utilize Apache Spark, HIVE, and related tools to build, optimize, and maintain data pipelines and workflows.
• Hands-on experience with Apache Spark DataFrames, Datasets, MapReduce, Hive Query Language, HDFS, and PySpark.
• Participate in agile development practices, including sprint planning, stand-ups, and retrospectives.
• Write clean, maintainable, and well-documented code while adhering to best coding practices.
• Perform thorough testing of developed solutions, including unit testing, integration testing, and performance testing.
• Troubleshoot and debug issues in the big data applications, ensuring smooth operation in production environments.
• Stay updated with the latest advancements in big data technologies and contribute ideas for improving the existing architecture.

Qualifications and Skills:

• Bachelor's degree in Computer Science, Software Engineering, or a related field.
• 5+ years of hands-on experience in software development, with a strong emphasis on building big data applications.
• Proven track record of working on agile development teams and delivering high-quality software in fast-paced environments.
• Proficiency in Java, Python, and preferably Scala programming languages.
• Extensive experience with Apache Spark, including DataFrames, Datasets, and PySpark.
• Solid understanding of HIVE Query Language, MapReduce, and HDFS.
• Strong problem-solving skills and the ability to optimize and tune big data workflows for performance.
• Excellent communication skills, both written and verbal, with the ability to convey complex technical concepts to non-technical stakeholders.
• Financial industry knowledge is a plus.
• Certifications in relevant technologies is an advantage.