26 to 50 of 72 Hadoop Jobs in London

based ensembles (and experience applying them with packages like Pandas, sci-kit-learn, SciPy) is highly beneficial Experience processing big data, ideally in a Hadoop/Spark environment, would be beneficial Proven experience implementing CI/CD and DevOps practices, with the ability to improve deployment reliability, testing standards ...

business objectives.A bit 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 ...

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 ...

/LLMOps principles, including CI/CD for ML, model monitoring, and governance frameworks.Proficiency with large-scale data processing and storage technologies (SQL, Spark, Hadoop) is a plus.Excellent stakeholder management and communication skills, with proven ability to translate complex AI concepts for diverse audiences.Connect to your business - Technology ...

Artificial Intelligence modeling techniques (logit, GLM, time series, random forests, clustering, XGBoost), statistical programming languages (SAS, R, Python, Matlab), big data tools and platforms (Hadoop, Hive, etc.) and cloud platforms (AWS, Azure, GCP). Solid academic record. Strong computer skills. Postgraduate studies and/or specialized courses ...

large-scale analytics platformsExpert knowledge of Quantexa, Entity Resolution (ER), Scoring Framework, Contextual Network GenerationExpertise in Big Data technologies, including: Scala, Apache Spark, Hadoop, ElasticSearchStrong stakeholder management and communication skills - capable of interfacing with both business and technical audiences.The work is heavily weighted toward Financial Services, Fraud ...

scale analytics platforms Expert knowledge of Quantexa, Entity Resolution (ER), Scoring Framework, Contextual Network Generation Expertise in Big Data technologies, including: Scala, Apache Spark, Hadoop, ElasticSearch Strong stakeholder management and communication skills - capable of interfacing with both business and technical audiences. The work is heavily weighted toward Financial Services ...

possibility of making serious money doing something you are passionate about.Follow me on Twitter for more roles and news @SebFintechSytems ENgineer – Security, Hadoop, SPark, debian, SELinux, Debian, puppet, ruby , python, kerberos ...

languages such as Python, SQL, or SparkExpertise in data visualisation tools such as Qlik, Power BI (Business Intelligence) or TableauData engineering tools such as Hadoop, Kafka, SQLExperience of analytics and being able to review and present insights in large data sets formed of complex data, including with software such ...

related field, 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 software development with object oriented language- Experience in cloud based solution (AWS or equivalent), system, network and operating system ...

About the roleA Payments FinTech are currently seeking a Data Engineering Lead (Python, Hadoop & SQL) to lead and mentor a talented team of data engineers and scientists as they look to simplify the bank through developing innovative data driven solutions, allowing them to be commercially successful through insight ...

Strong technical skills in Python and SQL, including building data pipelines and working with large-scale datasets and distributed data platforms (e.g., BigQuery, Snowflake, Hadoop or similar) Experience applying data science, machine learning, or data engineering approaches within data-intensive domains such as Finance or Operations Proficiency with ...

models using Python A minimum of 3 years advanced SQL skills and experience working with relational databases, knowledge of big data systems such as Hadoop and Spark Full spectrum of project management skills: ideation, prioritization, communication, and delivery Ability to work with and explain technical concepts to non-technical ...

following would be beneficial but not essential:Working with big data technology, ideally Spark but others will also be useful such as Hadoop or ElasticsearchExperience with DevOps tooling and approaches (automation and tooling is something we are passionate about, we even have a dedicated Developer Tooling team)Building data ...

additional cloud providers is a plus.Demonstrated success leading initiatives involving complex data pipelines and analytics platforms utilizing technologies such as Hive, Spark, Presto, Cassandra, Hadoop, and ML/NLP capabilities.IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences ...

serious money doing something you are passionate about.My client is based in LondonFollow me on Twitter for more roles and news @SebFintechSytems ENgineer – Security, Hadoop, SPark, debian, SELinux, Debian, puppet, ruby , python, kerberos ...

management. • Candidates Must Have: • 4 years commercial experience with Linux CentOS , bare metal and virtualisation • Puppet configuration management or equivalent automation experience • Big data (Hadoop, Spark, Kafka) • Containers and scheduling experience (Docker, LXC, Kubernetes, Mesos) • Strong scripting You will be joining a progressive and exciting company committed to excellence. ...

Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.- Experience with large scale distributed systems such as Hadoop, Spark etc.Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions ...

Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.- Experience with large scale distributed systems such as Hadoop, Spark etc.Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions ...

trust with stakeholders.Preferred qualifications, capabilities, and skillsExperience designing/implementing pipelines using DAGs (e.g. Kubeflow, DVC, Ray)Experience of big data technologies (e.g. Spark, Hadoop)Have constructed batch and streaming microservices exposed as REST/gRPC endpointsFamiliarity with GraphQL#CIBAppliedAIJ.P. Morgan is a global leader in financial services, providing strategic ...

problems.Ability communicating complex data science concepts.Practical experience developing and implementing machine learning on large data sets.Knowledge in mining large & complex data sets using SQL, Hadoop, NoSQL or SparkUnderstanding of statistical modelling techniques and the mathematical foundations of applied ML and AI algorithms and models.Explore cutting edge ML techniques ...

Java· HTML CSS· VUE or GWT· Highly motivated· Delivery focused and accountable.Additional exposure to the following is desired: – Tech Stack you will learn· Hadoop and Flink· RUST, Javascript, React, Redux, Flow· Linux, Jenkins· Kafka, Avro, Kubernetes, Puppet· Involvement in the Java communityMy client is based London. Home work ...

prior roles.Prior experience using causal inference/econometric techniques and bayesian methodologies for hypothesis testing.Prior experience using large datasets with distributed computing (e.g. spark, hadoop or other map-reduce tech)Experience working in a fast-moving tech company or startup.This role is a full-time role based in Sunnyvale ...

mindset: Exceptional teamwork skills for cross-functional projects in a fast-paced, global environment.Nice-to-Have:Experience with big data platforms (e.g., ELK, Splunk, Hadoop) for security analytics.Familiarity with enterprise security tools (SIEMs, EDR/XDR, firewalls) and cloud architectures.Knowledge of low-level systems (OS internals, CPU architectures ...

improve collaboration and delivery.What We’re Looking ForStrong proficiency in Python, Scala, or Java with hands-on experience in Big Data technologies including Spark, Hadoop, or similar distributed processing frameworks.Practical experience building real-time event streaming pipelines using technologies such as Kafka, Spark Streaming, or Amazon Kinesis within … multidisciplinary teams and client environments.Bonus Points ForExpertise in data modelling, schema design, and working with structured and semi-structured datasets.Experience with distributed technologies including Hadoop, Spark, HDFS, Hive, Databricks, or AWS Lake Formation.Knowledge of automating cloud-based ingestion and transformation frameworks.Experience delivering data engineering solutions within highly regulated industries ...