Greetings From SM Solutions!!! Hope your doing well, Job Title: Sr Hadoop Developer Location: Palo Alto, TX Duration: Long Term Contract Job Description: We are seeking a highly skilled and experienced Senior Hadoop Developer to join our dynamic team. As a Senior Hadoop Developer, you will be responsible for designing, developing, and maintaining large-scale data processing systems using Hadoop technologies. You will collaborate with cross-functional teams to gather requirements, design solutions, and implement robust data pipelines to support our business needs. This role requires strong analytical skills, attention to detail, and a deep understanding of distributed computing concepts. Responsibilities: Design and develop Hadoop-based solutions to process large volumes of data efficiently. Implement and maintain scalable data pipelines using Hadoop ecosystem tools such as HDFS, MapReduce, Hive, Pig, Spark, Kafka, etc. Optimize and tune Hadoop applications for maximum performance and reliability. Collaborate with data scientists and analysts to integrate advanced analytics and machine learning algorithms into Hadoop workflows. Troubleshoot and resolve issues related to data processing and performance bottlenecks. Ensure data security, integrity, and compliance with regulatory requirements. Stay updated with the latest developments in Hadoop technologies and recommend best practices to enhance our data infrastructure. Mentor junior developers and provide technical guidance and support as needed. Requirements: Minimum of 10 years of experience in software development with at least 5 years of hands-on experience in Hadoop ecosystem technologies. Proficiency in programming languages such as Java, Scala, or Python. Strong understanding of distributed computing principles and experience with large-scale data processing frameworks. Extensive knowledge of Hadoop ecosystem components and their functionalities. Experience with data warehousing concepts and technologies. Excellent problem-solving skills and ability to troubleshoot complex issues. Strong communication and collaboration skills with the ability to work effectively in a team environment. Experience with cloud platforms such as AWS, Azure, or Google Cloud is a plus. Certifications in Hadoop-related technologies (e.g., Cloudera, Hortonworks) are desirable.