4 of 4 DemandTrendContract Apache Hive Jobs in the UK

data-based insights, collaborating closely with stakeholders. Passionately discover hidden solutions in large datasets to enhance business outcomes. Design, develop, and maintain data processing pipelines using Cloudera technologies, including Apache Hadoop, Apache Spark, Apache Hive, and Python. Collaborate with data engineers and scientists to translate data requirements into technical specifications. Develop and maintain frameworks for efficient … verbal communication skills for effective team collaboration. Eagerness to learn and master new technologies and techniques. Experience with AutoSys is preferred. Experience with distributed data/computing tools: Hadoop, Hive, MySQL, etc. If you're a passionate Cloudera Developer eager to make a difference in the banking industry, we want to hear from you! Apply now to join our More ❯

data sources. Using machine learning tools to select features, create and optimize classifiers Qualifications: Programming Skills - knowledge of statistical programming languages like python, and database query languages like SQL, Hive/Hadoop, Pig is desirable. Familiarity with Scala and java is an added advantage. Statistics - Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators More ❯

data pipelines within enterprise-grade on-prem systems. Key Responsibilities: Design, develop, and maintain data pipelines using Hadoop technologies in an on-premises infrastructure. Build and optimise workflows using Apache Airflow and Spark Streaming for real-time data processing. Develop robust data engineering solutions using Python for automation and transformation. Collaborate with infrastructure and analytics teams to support operational … platform. Ensure compliance with enterprise security and data governance standards. Required Skills & Experience: Minimum 5 years of experience in Hadoop and data engineering. Strong hands-on experience with Python, Apache Airflow, and Spark Streaming. Deep understanding of Hadoop components (HDFS, Hive, HBase, YARN) in on-prem environments. Exposure to data analytics, preferably involving infrastructure or operational data. Experience More ❯

data pipelines within enterprise-grade on-prem systems. Key Responsibilities: Design, develop, and maintain data pipelines using Hadoop technologies in an on-premises infrastructure. Build and optimise workflows using Apache Airflow and Spark Streaming for real-time data processing. Develop robust data engineering solutions using Python for automation and transformation. Collaborate with infrastructure and analytics teams to support operational … platform. Ensure compliance with enterprise security and data governance standards. Required Skills & Experience: Minimum 5 years of experience in Hadoop and data engineering. Strong hands-on experience with Python, Apache Airflow, and Spark Streaming. Deep understanding of Hadoop components (HDFS, Hive, HBase, YARN) in on-prem environments. Exposure to data analytics, preferably involving infrastructure or operational data. Experience More ❯