4 of 4 Remote/Hybrid Hadoop YARN Jobs in London

About the Job you are considering: Results-driven Hadoop Data Engineer with experience designing, developing, and maintaining large-scale data processing solutions for financial services organizations. Skilled in building robust data pipelines, managing big data platforms, and transforming high-volume structured and unstructured financial data into actionable insights. … Proficient in Hadoop ecosystem technologies including HDFS, Hive, Spark, Sqoop, Kafka, Oozie, and YARN , along with SQL and cloud-based data platforms Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business ...

About the Job you are considering: Results-driven Hadoop Data Engineer with experience designing, developing, and maintaining large-scale data processing solutions for financial services organizations. Skilled in building robust data pipelines, managing big data platforms, and transforming high-volume structured and unstructured financial data into actionable insights. … Proficient in Hadoop ecosystem technologies including HDFS, Hive, Spark, Sqoop, Kafka, Oozie, and YARN , along with SQL and cloud-based data platforms Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business ...

About the Job you are considering: Results-driven Hadoop Data Engineer with experience designing, developing, and maintaining large-scale data processing solutions for financial services organizations. Skilled in building robust data pipelines, managing big data platforms, and transforming high-volume structured and unstructured financial data into actionable insights. … Proficient in Hadoop ecosystem technologies including HDFS, Hive, Spark, Sqoop, Kafka, Oozie, and YARN , along with SQL and cloud-based data platforms Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business ...

About the Job you are considering: Results-driven Hadoop Data Engineer with experience designing, developing, and maintaining large-scale data processing solutions for financial services organizations. Skilled in building robust data pipelines, managing big data platforms, and transforming high-volume structured and unstructured financial data into actionable insights. … Proficient in Hadoop ecosystem technologies including HDFS, Hive, Spark, Sqoop, Kafka, Oozie, and YARN , along with SQL and cloud-based data platforms Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business ...