We work as trusted business partners and always strive to deliver the most value and highest return on investment for our clients. We are highly trained business professionals with a strong understanding of clients' needs. We work closely with the leading staffing trade associations, training, and research organizations to ensure we are knowledgeable of the latest industry trends and technologies.

A Hadoop Developer is responsible for developing and implementing big data solutions using Hadoop technologies. They work on distributed computing environments to create scalable, high-performance systems for processing structured, semi-structured, and unstructured data. The role involves coding, testing, debugging, and documenting Hadoop applications while ensuring data security, governance, and performance optimization interviewguy.com+2.

Key Responsibilities

• Design and implement data processing pipelines using Hadoop and related tools such as HDFS, MapReduce, Hive, Spark, HBase, and Impala jobdescription.org+1.
• Develop high-performance, reliable, and scalable data processing systems interviewguy.com.
• Analyze large datasets to uncover insights and support business decision-making interviewguy.com.
• Collaborate with data scientists, data engineers, and architects to operationalize models and deliver actionable insights interviewguy.com+1.
• Maintain and optimize Hadoop clusters, including resource allocation, job scheduling, and performance tuning jobdescription.org+1.
• Implement security measures, data masking, and compliance with regulations like GDPR and CCPA jobdescription.org.
• Develop tools, libraries, and documentation to support other engineers in writing MapReduce programs and accessing data Toptal.
• Evaluate and integrate cloud-based Hadoop solutions on platforms such as AWS, Google Cloud, or Azure Toptal.

All your information will be kept confidential according to EEO guidelines.