Hadoop Data Engineer - Scottsdale AZ (100%)

Role : Hadoop Data Engineer Location : Scottsdale AZ (100%) JD : Strong Experience in Scala, Spark, Hive SQl, Hadoop and KafkaProficiency in Hive and SQL optimization.Understanding of distributed systems and big data architecture.Knowledge of streaming frameworks (Spark Streaming, Kafka Streams).Familiarity with data partitioning, compression, and serialization formats

JD : Strong Experience in Scala, Spark, Hive SQl, Hadoop and Kafka Proficiency in Hive and SQL optimization. Understanding of distributed systems and big data architecture. Knowledge of streaming frameworks (Spark Streaming, Kafka Streams). Familiarity with data partitioning, compression, and serialization formats

Job Title: Hadoop Developer - C2C Location: Remote Exp - 10+ Summary Seeking an experienced Hadoop Developer to build and support large-scale data pipelines using Hadoop, Spark, Python, and SQL in a healthcare environment. Key Responsibilities Develop and maintain data pipelines Handle data ingestion, transformation, and processing Optimize Hadoop/Spark performance Provide production support and troubleshooting Collaborate with data engineering teams Required Skills Hadoop ecosystem (HDFS,

Job Description: Sr. Data EngineerIntroduction:As a Sr. Data Engineer, you will be an integral part of our data team, responsible for designing, implementing, and maintaining data pipelines and infrastructure. You will work closely with data scientists, analysts, and other stakeholders to ensure data quality, accessibility, and reliability. Responsibilities:Design and develop scalable data pipelines using tools such as Hive, Airflow, NiFi, and Scoop.Work with Hadoop and Cloudera to manage and op