3 of 3 Remote/Hybrid Hadoop Jobs in London

Implement job orchestration using Databricks Workflows, Airflow, AWS Step Functions, or similar tools. Manage secrets, environment variables, and secure connections. Support migration from legacy Hadoop/Spark platforms to Databricks on AWS, if required. 'We are a Disability Confident Employer: Capgemini is proud to be a Disability Confident Employer ...

skills in Python, with a command of data science libraries (e.g., Pandas, NumPy, Scikit‐learn). Experience with big data technologies (e.g., Spark, Trino, Hadoop) and ideally cloud platforms (e.g., AWS, GCP, Azure) for scalable data processing, storage, and model deployment. Ideally having understanding and practical experience with graph ...

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 … 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; it will be a blend ...