Hadoop Developer

Lobox is an equal opportunity employer and values diversity at our company. We offer a competitive salary, comprehensive benefits package, and a supportive work environment that encourages growth and innovation.

Position: Hadoop Developer

Location: New York, New York, United States

Salary: $100 Per hour

Role and Responsibilities:

• As a Hadoop Developer, you will be responsible for designing, developing, and maintaining Hadoop-based applications. You will work closely with our data scientists and engineers to understand their requirements and translate them into efficient and scalable Hadoop solutions. Your responsibilities will include:
• Designing and developing Hadoop-based applications using HDFS, MapReduce, Hive, Pig, and other related technologies
• Writing efficient and optimized MapReduce jobs to process large volumes of data
• Developing and maintaining scalable data pipelines in Hadoop ecosystem
• Troubleshooting and debugging Hadoop jobs to identify and resolve performance issues
• Collaborating with cross-functional teams to develop data-driven solutions for our clients
• Conducting code reviews and providing technical guidance to junior developers
• Staying updated with the latest advancements in Hadoop ecosystem and implementing them in our projects
• Participating in the design and architecture discussions for new projects
• Creating and maintaining technical documentation for Hadoop applications
• Ensuring the security and integrity of data in Hadoop clusters
• Assisting in performance tuning and optimization of Hadoop clusters

Qualifications:

• To be successful in this role, you must possess the following qualifications:
• Bachelor's or Master's degree in Computer Science, Information Systems, or a related field
• Minimum of 3 years of experience as a Hadoop Developer
• Extensive experience in designing and developing Hadoop applications using HDFS, MapReduce, Hive, Pig, and other related technologies
• Strong understanding of Hadoop architecture and ecosystem
• Hands-on experience with Hadoop cluster administration, performance tuning, and troubleshooting
• Proficient in programming languages such as Java, Scala, or Python
• Experience with SQL and NoSQL databases
• Familiarity with data warehousing concepts and tools
• Knowledge of cloud technologies and experience with cloud-based Hadoop solutions is a plus
• Excellent problem-solving and analytical skills
• Strong communication and collaboration skills
• Ability to work in a fast-paced and dynamic environment
• Passion for learning and keeping up with the latest trends in big data and Hadoop ecosystem

Join our team and be a part of our exciting journey to transform the way businesses handle big data. We offer a competitive salary, comprehensive benefits package, and a supportive work environment that encourages growth and innovation.