26 to 50 of 181 Hadoop Jobs in the UK

data pipeline deployment and monitoring using CI/CD tools and infrastructure-as-code practices. Expertise with distributed data processing frameworks (e.g., Apache Spark, Hadoop) and real-time data streaming technologies (e.g., Kafka, Kinesis, Spark).Experience collaborating with cross-functional teams to deliver impactful data solutions. Ability to evaluate ...

deployment.Deep understanding of Quantexa components such as:Entity Resolution (ER)Scoring FrameworkContextual Network GenerationUI ConfigurationStrong background in Big Data technologies, including:Scala, Apache Spark, Hadoop, ElasticSearchExperience with data modelling and design in the context of large-scale analytics platforms.Strong stakeholder management and communication skills – capable of interfacing with both ...

Deep understanding of Quantexa components such as: Entity Resolution (ER)Scoring FrameworkContextual Network GenerationUI ConfigurationStrong background in Big Data technologies, including: Scala, Apache Spark, Hadoop, ElasticSearchExperience with data modelling and design in the context of large-scale analytics platforms. Strong stakeholder management and communication skills – capable of interfacing with ...

Quantexa components such as: Entity Resolution (ER) Scoring Framework Contextual Network Generation UI Configuration Strong background in Big Data technologies, including: Scala, Apache Spark, Hadoop, ElasticSearch Experience with data modelling and design in the context of large-scale analytics platforms. Strong stakeholder management and communication skills – capable of interfacing ...

planningRequired Skills & ExperienceTechnical SkillsStrong proficiency in SQL and data modellingExcellent programming skills in Python, Scala, or JavaHands-on experience with distributed data frameworks (Spark, Hadoop)Experience with data pipelines and ETL toolsExpertise in at least one cloud platform:Azure (Synapse, Data Factory, Databricks)AWS (S3, Glue, Redshift, Lambda ...

Python, SQL, JavaCommercial experience in client-facing projects is a plus, especially within multi-disciplinary teamsDeep knowledge of database technologies:Distributed systems (e.g., Spark, Hadoop, EMR)RDBMS (e.g., SQL Server, Oracle, PostgreSQL, MySQL)NoSQL (e.g., MongoDB, Cassandra, DynamoDB, Neo4j)Solid understanding of software engineering best practices – code reviews, testing ...

deployment and monitoring using CI/CD tools and infrastructure-as-code practices Hands-on expertise with distributed data processing frameworks (e.g., Apache Spark, Hadoop) and real-time data streaming technologies (e.g., Kafka, Kinesis, Spark) Track record of collaborating with cross-functional teams (engineering, analytics, business stakeholders) to deliver ...

deployment and monitoring using CI/CD tools and infrastructure-as-code practices Hands-on expertise with distributed data processing frameworks (e.g., Apache Spark, Hadoop) and real-time data streaming technologies (e.g., Kafka, Kinesis, Spark) Track record of collaborating with cross-functional teams (engineering, analytics, business stakeholders) to deliver ...

query languages such as SQL, PL/SQL, Python, Java, Ruby or R.Experience with relevant modern data technologies such as BigQuery, Databricks, Snowflake, MongoDB, Hadoop, Redis, Kafka or similar.The ability to select technologies based on scalability, performance, security, interoperability and business requirements.Experience documenting complex architectures clearly through diagrams, workflows ...

query languages such as SQL, PL/SQL, Python, Java, Ruby or R.Experience with relevant modern data technologies such as BigQuery, Databricks, Snowflake, MongoDB, Hadoop, Redis, Kafka or similar. The ability to select technologies based on scalability, performance, security, interoperability and business requirements. Experience documenting complex architectures clearly through ...

comparable technologies. Examples of technologies in scope include: Data processing and logic: ANSI SQL, Apache Spark, Kafka Platforms and storage: Snowflake, Apache Iceberg, Databricks, Hadoop ecosystem technologies, Sybase IQ Engineering and deployment: CI/CD tooling, containerised or Kubernetes‐based deployment approaches where relevant What We Are Looking ...

technologies in scope include: Data processing and logic: ANSI SQL, Apache Spark, KafkaData formats: JSON, Avro, ParquetPlatforms and storage: Snowflake, Apache Iceberg, Databricks, Hadoop ecosystem technologies, Sybase IQEngineering and deployment: CI/CD tooling, containerised or Kubernetes-based deployment approaches where relevantYou will also work with internal data management ...

technologies in scope include:Data processing and logic: ANSI SQL, Apache Spark, KafkaData formats: JSON, Avro, ParquetPlatforms and storage: Snowflake, Apache Iceberg, Databricks, Hadoop ecosystem technologies, Sybase IQEngineering and deployment: CI/CD tooling, containerised or Kubernetes-based deployment approaches where relevantYou will also work with internal data management ...

Gradle). Desirable skills: Scala: Hands-on experience or a strong functional programming background using Scala. Big Data: Exposure to Apache Spark, Kafka, or Hadoop ecosystems. Cloud: Experience with AWS, Azure, or Google Cloud Platform. Experience in banking or financial services industry. Soft Skills Strong problem-solving abilities. Clear ...

warehousing principles and best practices Dimensional modelling Enterprise data architecture concepts Modernisation Experience Experience delivering migrations and modernisation initiatives involving technologies such as: Teradata Hadoop Oracle SAS Preferred Experience Financial Services or Banking sector experience. Experience working within regulated environments. Large-scale cloud transformation programmes. Agile delivery methodologies. Experience ...

Experience with data warehousing concepts and technologies.Knowledge of other BI tools (e.g., Tableau, Looker) and data modelling techniques.Familiarity with big data technologies (e.g., Hadoop, Spark).Familiarity with modern data architecture (e.g., Data Mesh, Fabric).An understanding of infrastructure as code (e.g., Terraform)Experience with CI/CD pipelines ...

Oracle, Snowflake, Databricks). Experience with data integration (ETL/ELT, APIs). Familiarity with cloud data platforms (AWS, Azure, GCP) and big data (Hadoop, Spark, Kafka) a plus. Domain Knowledge: Exceptional understanding of the Funds business lifecycle, financial instruments, market data, and investment operations. In-depth knowledge ...

Server, Oracle, Snowflake, Databricks).Experience with data integration (ETL/ELT, APIs).Familiarity with cloud data platforms (AWS, Azure, GCP) and big data (Hadoop, Spark, Kafka) a plus.Domain Knowledge:Exceptional understanding of the Funds business lifecycle, financial instruments, market data, and investment operations.In-depth knowledge of regulatory reporting ...

Data Platforms: BigQuery, Snowflake, Redshift, Databricks, PostgreSQL, MySQL, MongoDB, or other SQL/NoSQL technologies Data Tooling: Airflow, dbt, AWS Glue, Step Functions, Spark, Hadoop, or similar tooling Infrastructure: AWS, Terraform, Docker, Kubernetes, or other cloud/platform technologies CI/CD: GitHub Actions, Jenkins, ArgoCD, or similar deployment ...

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 cloud based solution (AWS or equivalent), system, network and operating ...

Python . Expertise in SQL and large-scale data modelling. Strong cloud experience across GCP, AWS, or Azure . Experience with Databricks, Snowflake, or Hadoop ecosystems . Knowledge of data ingestion, ETL/ELT frameworks, and batch/real-time processing. Applications are now open. ...

solutions on at least one public cloud platform (AWS, Azure, or GCP)Working knowledge of distributed data systems: Apache Spark, Delta Lake, or equivalent (Hadoop, Kafka, Flink)Experience leading technical customer conversations — discovery, whiteboarding, architecture reviewsFamiliarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data ...

following areas:Provide subject matter expertise and hands-on delivery of data capture, curation, and consumption pipelines on cloud platforms using native and Hadoop-based services.Ability to conduct comprehensive technical and architectural assessments of existing platforms, define future-state architectures, and articulate the migration strategy.Ability to design and build ...

from concept to 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, model governance, and the practical application of responsible AI within enterprise environments.Excellent ...

concept to 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, model governance, and the practical application of responsible AI within enterprise environments. ...