Java + Bigdata (Spark) Developer

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Job description

About Client:

Client is a company that helps other businesses with technology and consulting services. They offer various services like developing software, managing computer systems, and providing advice on how to improve business processes. Client works with different industries like healthcare, finance, retail, and more. They help these businesses by using technology to make their operations smoother and more efficient. For example, they might create a mobile app for a retail store to make it easier for customers to shop online, or they might help a hospital manage patient records using computer systems.

Overall, Client is like a trusted partner that businesses can rely on to solve their technology-related challenges and make their operations better. They have experts who understand the business needs and use technology to find the right solutions.

Rate Range: $65-$70/Hr

Job Description:

Responsibilities:

Development & Design:Design, develop, and maintain scalable data processing applications using Java and Apache Spark.Collaborate with data engineers and analysts to create robust data pipelines.

Big Data Technologies: Work with big data technologies such as Hadoop, Spark, Kafka, and NoSQL databases.Optimize data storage and retrieval processes to ensure high performance.

Code Quality & Maintenance:Write clean, maintainable, and efficient code while following best practices.Conduct code reviews and provide constructive feedback.

Troubleshooting & Support: Diagnose and resolve performance issues and bugs.Provide technical support and guidance to team members.

Documentation: Maintain documentation for code, processes, and best practices.

Qualifications:

Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Experience:

3+ years of experience in Java development.

2+ years of experience with Big Data technologies, specifically Apache Spark.

Skills:

Proficient in Java and related frameworks (Spring, Hibernate, etc.).

Strong understanding of Spark architecture and core concepts.

Experience with Hadoop ecosystem components (HDFS, YARN, Hive, etc.).

Familiarity with SQL and NoSQL databases (e.g., MongoDB, Cassandra).

Knowledge of data processing and ETL frameworks.

About ApTask:

ApTask is a leading global provider of workforce solutions and talent acquisition services, dedicated to shaping the future of work. As an African American-owned and Veteran-certified company, ApTask offers a comprehensive suite of services, including staffing and recruitment solutions, managed services, IT consulting, and project management. With a focus on excellence, collaboration, and innovation, ApTask provides unparalleled opportunities for professional growth and development. As a member of the ApTask team, you will have the chance to connect businesses with top-tier professionals, optimize workforce performance, and drive success across diverse industries. Join us at ApTask and be part of our mission to empower organizations to thrive while fostering a diverse and inclusive work environment.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

Candidate Data Collection Disclaimer:

At ApTask, we prioritize safeguarding your privacy. As part of our recruitment process, certain Personally Identifiable Information (PII) may be requested by our clients for verification and application purposes. Rest assured, we strictly adhere to confidentiality standards and comply with all relevant data protection laws. Please note that we only collect the necessary information as specified by each client and do not request sensitive details during the initial stages of recruitment.

If you have any concerns or queries about your personal information, please feel free to contact our compliance team at

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