Java/Spark Developer

Digital Dhara is seeking a highly skilled and experienced Java/Spark Developer to join our dynamic team in Phoenix, AZ. This pivotal role involves designing, developing, and deploying robust, scalable, and high-performance data processing applications and distributed data pipelines. If you have a passion for big data technologies and a proven track record in Java development within cloud environments, we invite you to contribute to our innovative projects.

As a key member of our engineering team, you will leverage your expertise to build solutions that handle large-scale data, driving critical business insights. This is an excellent opportunity for a seasoned professional to make a significant impact on our data architecture and contribute to cutting-edge technology initiatives.

Key Responsibilities

• Design, develop, and maintain high-performance, scalable data processing applications using Java and Apache Spark.
• Implement and optimize distributed data pipelines for ingestion, transformation, and analysis of large datasets.
• Utilize Java 8/11/17, Spring Boot, Spring MVC, and Microservices to build robust backend systems.
• Collaborate with data scientists, architects, and other engineers to understand data requirements and translate them into technical solutions.
• Ensure the reliability, efficiency, and security of data solutions in cloud environments (AWS, Azure, GCP).
• Perform rigorous testing, debugging, and performance tuning of applications to meet operational standards.
• Participate in code reviews, mentor junior developers, and contribute to the continuous improvement of development processes and best practices.
• Work with event-driven architectures using technologies like Kafka to process real-time data streams.

Requirements

• Minimum of 8 years of professional experience in Java development, with a strong emphasis on enterprise-level applications.
• Extensive hands-on experience with Apache Spark, including Spark Core, Spark SQL, and Spark Streaming for large-scale data processing.
• Proficiency in Java 8/11/17, Spring Boot, Spring MVC, and designing/implementing Microservices architectures.
• Solid understanding and experience with distributed systems and handling large datasets effectively.
• Strong SQL skills and practical experience working with relational databases.
• Demonstrable experience with Kafka and building event-driven architectures.
• Familiarity with the Hadoop ecosystem (Hive, HDFS, YARN) is a significant advantage.
• Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP).
• Proficiency with containerization technologies like Docker, orchestration with Kubernetes, and CI/CD tools such as Jenkins, GitHub Actions, or Azure DevOps.
• Strong grasp of software engineering best practices, including Git, Maven/Gradle, and Agile methodologies.

What We Offer

• The opportunity to work on challenging and impactful projects with cutting-edge big data technologies.
• A collaborative, innovative, and supportive work environment that values technical excellence and continuous learning.
• Competitive compensation and benefits package.
• Opportunities for professional growth, skill development, and career advancement within a growing company.
• Be part of a team that is passionate about building scalable and efficient data solutions for diverse industries.