Hadoop Developer

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.