26 to 50 of 116 Hadoop Jobs in London

infrastructure underpinning data systems through a DevOps approach Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop Good understanding of the possible architectures involved in modern data system design (e.g. Data Warehouse, Data Lakes and Data Meshes) and the different ...

such as Pulsar, Kafka, RedPanda. Must have knowledge and experience automatically provisioning and supporting multiple big data technologies; such as MongoDB, DataBricks, Big Query, Hadoop, Spark, Trino, DataLakes/Lakehouse Architectures. Infrastructure management with Terraform Experience with Github or any other source control Knowledge of Scripting/Coding languages ...

/ML offerings. Strong programming skills (Python, Java, C++) and experience with DevOps practices (CI/CD). Knowledge of big data technologies (Hadoop, Spark, Flink). Knowledge of NoSQL databases (MongoDB, Cassandra, DynamoDB), message queueing systems (Kafka, RabbitMQ), and version control systems (Git). Preferred Skills: Hugging Face ...

production. Strong knowledge of Python and core ML libraries (e.g., spaCy, NumPy, SciPy, Transformers). Understanding of big data and cloud technologies (Spark, Hadoop, Azure, AWS, or GCP). Deep expertise in MLOps principles, scalable model deployment, and model governance. Excellent communication and stakeholder management skills with the ability ...

Server, PostgreSQL, Oracle, MySQL; Data visualisation software: Spotfire, Tableau, or Power BI; Azure cloud computing platform; Big data technologies such as Spark, Elasticsearch, Hadoop; Statistical techniques (regression, clustering etc.); Machine learning and pattern recognition; Front-end web development e.g. HTML, JavaScript ...

responsibly to improve productivity while maintaining appropriate human oversight, governance, and solution quality. Bonus Points ForDevelopment experience using Scala or Java. Familiarity with Cloudera, Hadoop, Hive, Spark, and related distributed data ecosystems. Experience working with sensitive data and applying data privacy regulations, including GDPR.Curiosity to explore new technologies, including ...

degree, or experience in a professional field or military- Experience as technical specialist in design and architecture- Experience in database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis)- Experience in consulting, design and implementation of serverless distributed solutions- Experience in software development with object oriented language- Experience in cloud based ...

Life Sciences. Experience working for a software vendor, SaaS provider, or professional services organisation. Familiarity with Ataccama or similar enterprise data platforms. Exposure to Hadoop/Spark, NoSQL, XSLT, Hive, Kafka, Snowflake, or Databricks. Python or other programming languages. Familiarity with SDLC, code management and upgrades, and Unix/ ...

optimizing data pipelines; Understanding of data modeling and data transformation techniques; Knowledge of maintaining high data quality and integrity; Strong software development skills with Hadoop technologies such as Hive and Spark; Experience with Workday Studio and managing code within the Workday environment; Knowledge of SaaS applications such as Salesforce ...

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 ...

code. Ability to read through code, especially Java. Demonstrable experience collaborating with engineering on servicesExperience working with large datasets and data processing technologies (e.g., Hadoop, Spark, SQL)Familiarity with anomaly detection, supervised and unsupervised learning methods, and real-time data analysisExperience with statistical analysis and good presentation skills ...

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 ...

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 ...

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 ...

real-world datasets e.g. Python, R, KNIME, Splunk, Geo data.Desirable:Industry recognised qualification/accreditation in relevant field.Experience of using big data ecosystems e.g. Hadoop, Spark and/or MapReduce.Experience of working in NATO or similar multi-national defence/security sector. Why work with us By joining ...

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. ...

programming languages relevant to data engineering (e.g., Python, Java, Scala). Experience with cloud platforms (AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop). Demonstrated ability to lead and mentor junior engineers. Existing right-to-work in the UK is required for this position; foreign applicants should ...

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 ...

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 ...

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 ...

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 ...