Engineer_Java Spark_Neustar

Job Summary: We are seeking a skilled Java Spark Engineer to join our Data & Analytics team. The ideal candidate will work on building next-generation data products on Hadoop and Spark platforms, handling large-scale datasets, and collaborating with cross-functional teams to deliver high-quality data solutions. Roles & Responsibilities: Data Processing & Transformation: Prototype and implement data transformations and entity resolutions on petabyte-scale data using Hadoop and Spark clusters. Debug and optimize Spark code for performance improvements. Machine Learning Support: Understand, code, and debug ML models in Spark for analytics and data processing workflows. Data Quality & Analytics: Analyze data errors and identify root causes to improve overall data quality. Work with relational, NoSQL, and graph databases to extract, transform, and query data efficiently. Collaboration & Communication: Collaborate closely with teams generating and consuming data to ensure accurate and reliable data outputs. Communicate findings and solutions clearly, both in writing and orally, to stakeholders and team members.