26 to 50 of 88 Hadoop Jobs in England

model lifecycle managementExperience with NLP, deep learning, or computer visionKnowledge of data visualisation tools (Power BI, Tableau)Exposure to big‐data technologies (Spark, Hadoop)AWS certificationsExperience supporting government or highly regulated environmentsClearance Requirements:BPSS Pre-screening required to startSC required for the roleApplicants must have (or be able ...

Azure, GCP or equivalent) and their AI/ML services.Proficiency in data manipulation and analysis using SQL and big data technologies (e.g., Spark, Hadoop) is a plus.Experience with MLOps tools and best practices for model deployment, monitoring, and governance.Education and Experience:Bachelor's or Master's, or equivalent degree ...

methodologies.In addition to the above, we would be thrilled if you also had:Experience of working on migrations of enterprise scale data platforms including Hadoop and traditional data warehousesAn understanding of machine learning model development lifecycle, feature engineering, training and testingGood understanding or hands-on experience of KafkaExperience ...

Scala. Strong knowledge of SQL and experience with data warehousing solutions. Familiarity with cloud platforms (AWS, Azure, Google Cloud) and big data technologies (Hadoop, Spark). Excellent problem-solving skills and a keen eye for detail. A collaborative spirit and a genuine passion for data! Our Client's Benefits ...

country where you are applying, as well as apply for travel visas as required by travel needsPreferred qualifications • Additional data and analytics experience in Hadoop framework and coding using Impala, Hive, or PySpark • Experience generating new knowledge or creating innovative solutions for a firm • Relevant industry expertise • Working knowledge ...

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 ...

such as Python or Go.Expertise in constructing highly available and fault-tolerant big data environments in the cloud, utilizing NoSQL and RDMS technologies like Hadoop, Spark, PostgreSQL, and cloud-based management tools such as EMR, Athena, and RDS.Ability to implement systems with a security-first mindset, adhering to firm ...

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 ...

preferred. Having built ELT or ETL pipelines processing large amounts of data. Experience with dbt or Airbyte is preferred. Experience developing production Spark or Hadoop applications Gained experience with a workload scheduling and orchestration tool such as Apache Airflow/Cloud Composer Familiarity with modern DataOps (e.g. quality ...

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 ...

test-driven approach.Creating code that is open by default and easy for others to reuse.Required SkillsExperience with Big Data technologies, such as Apache Hadoop, Spark or PigAWSApache NiFiPython or JavaBuilt on over a 70 year heritage, Roke offers specialist knowledge in sensors, communications, cyber, and AI and ML. ...

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 ...

data delivery environment, translating business requirements into clear, actionable outcomes for engineering teams.Experience working with cloud data technologies, preferably AWS. Alongside an understanding of Hadoop ecosystem fundamentals, and large-scale data processing environments.Experience owning, prioritising and managing complex technical backlogs within an Agile environment, delivering products or capabilities from ...

Hands-on experience with cloud platforms (AWS, Azure, GCP)Hands-on experience with the Kubernetes ecosystem for setup, administration, troubleshooting and tuningFamiliarity with the Hadoop and/or Spark ecosystemsHow you'll stand out Experience with PythonData-Science knowledgeBasic knowledge of JavaFamiliarity with ML-Ops practices and toolsWhat does ...

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 ...