51 to 75 of 166 Hadoop Jobs in England

Choose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Your locationYour locationIndustriesChoose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Birmingham ...

scale, distributed data processing pipelines using Apache Spark and related technologies. •Having expertise in Spark Core, Spark SQL and Spark Streaming.•Experience with Python, Hadoop, HDFS, Hive and other BigData technologies.•Familiarity with Data warehousing and ETL concepts and techniques•Working Knowledge in AWS (Glue EMR) etc. is good ...

Strong understanding of data structures, algorithms, and software design principles Experience working with large-scale data processing, distributed computing, or cloud-based platforms (e.g., Hadoop, Spark, AWS) is highly desirable Familiarity with ESG investing principles and market trends is a plus Excellent problem-solving, analytical, and debugging skills Strong ...

detail.* Strong partner management and ability to lead large organizations through influence.* Continuous learning and improvement perspective.## Desired* Experience with big data technologies (e.g. Hadoop, Hive, and Spark) is a plus.* No prior experience in the energy industry required. **Why join us?****At bp, we support our people ...

while maintaining attention to detail.Strong partner management and ability to lead large organizations through influence.Continuous learning and improvement perspective.DesiredExperience with big data technologies (e.g. Hadoop, Hive, and Spark) is a plus.No prior experience in the energy industry required.Why join us At bp, we support our people to grow ...

analysis of data. Manage and integrate data across dissimilar data sets. Analyze large-scale structured and unstructured data. Use frameworks such as Spark and Hadoop to conduct large-scale data processing. Perform statistical modeling and create data visualizations using products like Tableau, Microsoft Power BI and R Shiny. Research ...

detail. Strong partner management and ability to lead large organizations through influence. Continuous learning and improvement perspective. DesiredExperience with big data technologies (e.g. Hadoop, Hive, and Spark) is a plus. No prior experience in the energy industry required. Why join us? At bp, we support our people to grow ...

experience (focus on machine learning): SQL and Python's Data Science stack; good knowledge of at least one big data framework (e.g., PySpark, Hive, Hadoop) is a plus. R, SPSS, and SAS are considered nice-to-haveStrong understanding of machine learning methods and experience applying them to complex, data ...

Pipeline Builder or AIP, or similar platforms for application development and data integrationExperience with distributed data and compute, such as Spark or Databricks, Hadoop or Hive, Kafka, or AWS EMR, and cloud environments used by the ICExperience with geospatial analysis tools, such as ArcGIS or ArcPro, and GEOINT collection ...

Python data science ecosystem (e.g. NumPy, Pandas, scikit-learn, PyTorch, TensorFlow). Experience with big data and distributed analytics platforms (e.g. Spark, Hadoop). Hands-on experience with Natural Language Processing, graph analytics and advanced analytical methods. Experience using cloud analytics platforms, with strong AWS and native tooling expertise. ...

rigour and attention to detail.Strong partner management and ability to influence across teams and organisations.Continuous learning and improvement mentality.DesiredExperience with big data technologies (e.g. Hadoop, Hive, Spark).Experience with generative AI, LLMs, or retrieval-augmented generation (RAG).Exposure to Agentic AI concepts, including autonomous agents, tool use, and orchestration ...

detail. Strong partner management and ability to influence across teams and organisations. Continuous learning and improvement mentality. Desired Experience with big data technologies (e.g. Hadoop, Hive, Spark). Experience with generative AI, LLMs, or retrieval-augmented generation (RAG). Exposure to Agentic AI concepts, including autonomous agents, tool ...

Azure. Advanced analytics, predictive modelling, machine learning, cognitive tools and artificial intelligence. Structured and unstructured data management systems and models, including relational, columnar store, Hadoop and NoSQL platforms. Modern data visualisation platforms such as Tableau, Power BI, Qlik, MicroStrategy and others. IDEALLY WE'D LIKE: Experience in data ...

/DEI, including mappings, workflows, applications, transformations, and reusable components. Support the migration of data assets, ETL pipelines, and workloads from the Cloudera Hadoop platform (HDFS, Hive, Impala, Spark) to AWS Cloud. Design, develop, and optimise data ingestion, transformation, and loading processes into Amazon S3 Data Lake and Amazon ...

about you: Strong Python knowledge. Ability to read through code. Demonstrable experience collaborating with engineers. Experience with big data technologies such as Hadoop, Spark, or similar. Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and data warehousing solutions. Strong knowledge in at least a few of the following areas ...

including Cortex AI, data sharing, Snowpark, and Native AppsFamiliarity with financial services cloud migration patterns and the technical landscape of legacy platforms (Teradata, Oracle, Hadoop)Experience with real-time data architectures, streaming ingestion, and event-driven data platforms in regulated environmentsBackground in data mesh, data product design, or enterprise ...

observability platforms, including distributed tracing, logging, metrics, and tools such as Prometheus, Grafana, ELK, or OpenTelemetry. Experience with site reliability engineering practices, relational databases, Hadoop, big data technologies, or cloud-native services. Familiarity with cloud-native architecture and managed services across AWS, Azure, or Google Cloud Platform. Knowledge ...

distributed tracing, logging, and metrics (e.g., Prometheus, Grafana, ELK, or OpenTelemetry). Experience in some of the following is desired: SRE experience, relational databases, Hadoop and big data technologies, knowledge of the financial industry or compliance/risk functions. Familiarity with cloud-native architecture and managed services (AWS, Azure ...

improvements and automation Strong Python development skills (including Pandas and related data-processing libraries). Experience with big data technologies such as Spark, PySpark, Hadoop, and Hive Exposure to quantitative modelling or financial modelling is a plus but not required. Skills that will help: Global Risk Management experience Benefits ...

observability platforms, including distributed tracing, logging, metrics, and tools such as Prometheus, Grafana, ELK, or OpenTelemetry. Experience with site reliability engineering practices, relational databases, Hadoop, big data technologies, or cloud-native services. Familiarity with cloud-native architecture and managed services across AWS, Azure, or Google Cloud Platform. Knowledge ...

implementing process improvements and automationStrong Python development skills (including Pandas and related data-processing libraries).Experience with big data technologies such as Spark, PySpark, Hadoop, and Hive. Exposure to quantitative modelling or financial modelling is a plus but not required. Skills that will help: Global Risk Management experienceBenefits ...

Banking systems and data management techniques Familiarity with big data analytics/business intelligence tools (e.g. Tableau, Power BI, Alteryx) and data frameworks (e.g. Hadoop, MAPR, MinIO) would be a distinct advantage Familiarity with coding tools (e.g. Python, SQL) would be a distinct advantage Results focused in a pressurised ...

knowledge.Strong experience with MLOps, production ML systems, model lifecycle management, and monitoring.Experience working with large-scale data systems and distributed computing frameworks (e.g. Spark, Hadoop).Knowledge of experimental design, scientific methodology, and analysis.Strong partner management and confirmed ability to influence large organisations without direct authority.Demonstrated ability to lead through ...

experience with MLOps, production ML systems, model lifecycle management, and monitoring. Experience working with large-scale data systems and distributed computing frameworks (e.g. Spark, Hadoop). Knowledge of experimental design, scientific methodology, and analysis. Strong partner management and confirmed ability to influence large organisations without direct authority. Demonstrated ability ...

Strong understanding of Apache HTTP, Envoy, and REST API design. Experience working with Protobuf, Avro, and Parquet data formats. Knowledge of Iceberg, Databricks, and Hadoop ecosystems. Skills that will help Follows TDD, ATDD and Clean Coding practices and used to setting up or working in an environment using ...