1 to 25 of 49 Hadoop Jobs in the UK

cloud platforms such as: AWS, Azure, Google Cloud Platform (GCP) Hands-on experience with data technologies such as: Apache Spark, Databricks, Kafka, Airflow, Snowflake, Hadoop ecosystems Experience designing and maintaining data warehouses and data lakes. Knowledge of DevOps and CI/CD tooling (e.g. Git, Jenkins, Azure DevOps, Terraform ...

Scala, and SQL. \n Hands‐on experience building and operating large‐scale data pipelines using big data and distributed processing technologies (e.g. Apache Spark, Hadoop). \n Experience designing and maintaining data lakes, distributed storage platforms, and data pipeline orchestration tools. \n Experience working with cloud‐native data platforms ...

Scala, and SQL. \n Hands‐on experience building and operating large‐scale data pipelines using big data and distributed processing technologies (e.g. Apache Spark, Hadoop). \n Experience designing and maintaining data lakes, distributed storage platforms, and data pipeline orchestration tools. \n Experience working with cloud‐native data platforms ...

Scala, and SQL.\ NHands‐on experience building and operating large‐scale data pipelines using big data and distributed processing technologies (e.G. Apache Spark, Hadoop).\ NExperience designingand maintaining data lakes, distributed storage platforms, and data pipeline orchestration tools.\ NExperience working with cloud‐native data platforms, with strong expertise ...

Scala, and SQL.\ NHands‐on experience building and operating large‐scale data pipelines using big data and distributed processing technologies (e.G. Apache Spark, Hadoop).\ NExperience designingand maintaining data lakes, distributed storage platforms, and data pipeline orchestration tools.\ NExperience working with cloud‐native data platforms, with strong expertise ...

expertise in SQL, data modelling, and database optimisation (relational, vector and NoSQL).\ N\n Proficiency in distributed data processing frameworks (e.G., Spark, Flink, Hadoop).\ N\n Deep knowledge ofcloud data platforms (AWS, Azure, or GCP) and associated services.\ N\n Strong programming skills in Python, Java ...

Docker \n Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo \n Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc. \n Data acquisition and development of data sets and improving data quality \n Preparing data for predictive and prescriptive modelling \n Reporting ...

Docker \n Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo \n Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc. \n Data acquisition and development of data sets and improving data quality \n Preparing data for predictive and prescriptive modelling \n Hands ...

Django, Docker \ NExperience working with ETL pipelines is desirable e.G. Luigi, Airflow or Argo \ NExperience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc.\ NData acquisition anddevelopment of data sets and improving data quality \ NPreparing data for predictive and prescriptive modelling \ NReporting tools (e.G. Tableau, PowerBI, Qlik ...

Django, Docker\ NExperience working with ETL pipelines is desirable e.G. Luigi, Airflow or Argo\ NExperience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc.\ NData acquisition anddevelopment of data sets and improving data quality\ NPreparing data for predictive and prescriptive modelling\ NHands on coding experience, such ...

Experience with cloud platforms \n\n \n Experience with CI/CD practices \n\n \n Experience with big data tools e.g. Spark, Hadoop, NiFi \n\n \n Experience managing direct reports, providing regular guidance and performance feedback \n\n \n Ability to create delivery plans with estimated timelines ...

technologies \ N\n\nExperience with cloud platforms \ N\n\nExperience with CI/CD practices \ N\n\nExperience with big data tools e.G. Spark, Hadoop, NiFi \ N\n\nExperience managing direct reports, providing regular guidance and performance feedback \ N\n\nAbility to create delivery plans with estimated timelines ...

quality checks into pipelines. Knowledge of cloud infrastructure (AWS, Azure, or GCP) and database technologies including relational and non-relational stores such as Postgres, Hadoop, Elasticsearch, and Graph databases. Solid understanding of coding best practices, design patterns, CI/CD tooling, versioning, dependency management, error handling, monitoring, and alerting. ...

skills in Python, with a command of data science libraries (e.g., Pandas, NumPy, Scikit‐learn). Experience with big data technologies (e.g., Spark, Trino, Hadoop) and ideally cloud platforms (e.g., AWS, GCP, Azure) for scalable data processing, storage, and model deployment. Ideally having understanding and practical experience with graph ...

skills in Python, with a command of data science libraries (e.g., Pandas, NumPy, Scikit‐learn). Experience with big data technologies (e.g., Spark, Trino, Hadoop) and ideally cloud platforms (e.g., AWS, GCP, Azure) for scalable data processing, storage, and model deployment. Ideally having understanding and practical experience with graph ...

ERwin, or Sparx EA (preferred). Experience reverse engineering models from existing databases.\ N\n Proficiency in distributed data processing frameworks (e.G., Spark, Flink, Hadoop).\ N\n Experience with API management and gateway tools and services.\ N\n Experience of RESTful APIs for ingesting and exposing data. ...

/Studio, ERwin, or Sparx EA (preferred). Experience reverse engineering models from existing databases. Proficiency in distributed data processing frameworks (e.g., Spark, Flink, Hadoop). Experience with API management and gateway tools and services. Experience of RESTful APIs for ingesting and exposing data. Proven track record with data ...

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

performance and reliability Collaborate with Agile teams to deliver secure, high-quality solutions Write clean, tested, maintainable code Required Skills: Experience with Apache Spark, Hadoop or similar big data technologies AWS Apache NiFi Python or Java Experience building data pipelines and ETL processes Desirable: CI/CD, Infrastructure ...

performance and reliability Collaborate with Agile teams to deliver secure, high-quality solutions Write clean, tested, maintainable code Required Skills: Experience with Apache Spark, Hadoop or similar big data technologies AWS Apache NiFi Python or Java Experience building data pipelines and ETL processes Desirable: CI/CD, Infrastructure ...

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

unstructured datasets. Strong stakeholder management and communication skills. Desirable Insurance or financial services experience, ideally within pricing, underwriting, fraud, or claims. Experience with Spark, Hadoop, NoSQL, or modern big data platforms. Agile delivery experience and collaborative software development practices. Experience leading analytics teams and driving organisational change. Robert Walters ...

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

Relational databases (SQL Server, PostgreSQL, Oracle, MySQL) Data visualisation tools (Power BI, Tableau, Spotfire) Cloud platforms, particularly Microsoft Azure Big data technologies (Spark, Elasticsearch, Hadoop) Statistical modelling and advanced analytics Machine learning and pattern recognition techniques Web technologies such as HTML and JavaScript ...

with Apache Kafka and Apache Flink. Experience helping customers build distributed systems or streaming solutions that use Kafka alongside technologies such as Spark, Flink, Hadoop, Cassandra, etc. Other Relevant Job Details For additional information about location requirements, please discuss with the recruiter following submission of your application. Some travel ...