1 to 25 of 63 Apache Spark Jobs in the UK excluding London

CD, and model monitoring. Proficiency in Python and relevant data manipulation and analysis libraries (e.g., pandas, NumPy). Experience with distributed computing frameworks like Apache Spark is a plus. Apache Spark and Airflow would be a bonus. Role overview: If you're looking to work with more »

CD, and model monitoring. Proficiency in Python and relevant data manipulation and analysis libraries (e.g., pandas, NumPy). Experience with distributed computing frameworks like Apache Spark is a plus. Apache Spark and Airflow would be a bonus. Role overview: If you're looking to work with more »

data pipelines using tools such as Airflow, Jenkins and GitHub actions. · Highly competent hands-on experience with relevant Data Engineering technologies, such as Databricks, Spark, Spark API, Python, SQL Server, Scala · Help the business harness the power of data within easyJet, supporting them with insight, analytics and data … system. · Significant experience with Python, and experience with modern software development and release engineering practices (e.g. TDD, CI/CD). · Significant experience with Apache Spark or any other distributed data programming frameworks (e.g. Flink, Arrow, MapR). · Significant experience with SQL – comfortable writing efficient SQL. · Experience using … enterprise scheduling tools (e.g. Apache Airflow, Spring DataFlow, Control-M) · Experience with Linux and containerisation What you’ll get in return ·Competitive base salary ·Up to 20% bonus ·25 days holiday ·BAYE, SAYE & Performance share schemes ·7% pension ·Life Insurance ·Work Away Scheme ·Flexible benefits package ·Excellent staff travel more »

comfortable designing and constructing bespoke solutions and components from scratch to solve the hardest problems. Adept in Java, Scala, and big data technologies like Apache Kafka and Apache Spark, they bring a deep understanding of engineering best practices. This role involves scoping and sizing, and indeed estimating … be considered. Key responsibilities of the role are summarised below Design and implement large-scale data processing systems using distributed computing frameworks such as Apache Kafka and Apache Spark. Architect cloud-based solutions capable of handling petabytes of data. Lead the automation of CI/CD pipelines for more »

IaC), automation & configuration management; Ansible (plus Puppet, Saltstack), Terraform, CloudFormation; NodeJS, REACT/MaterialUI (plus Angular), Python, JavaScript; Big data processing and analysis, e.g. Apache Hadoop (CDH), Apache Spark; RedHat Enterprise Linux, CentOS, Debian or Ubuntu. Java 8, Spring framework (preferably Spring boot), AMQP RabbitMQ, Open source more »

and product development, encompassing experience in both stream and batch processing. Designing and deploying production data pipelines, utilizing languages such as Java, Python, Scala, Spark, and SQL. In addition, you should have proficiency or familiarity with: Scripting and data extraction via APIs, along with composing SQL queries. Integrating data more »

data warehouse, data lake design/building, and data movement. Design and deploy production data pipelines in Big data architecture using Java, Python, Scala, Spark, and SQL. Tasks involve scripting, API data extraction, and writing SQL queries. Comfortable designing and building for AWS cloud, encompassing Platform-as-a-Service more »

and product development, encompassing experience in both stream and batch processing. · Designing and deploying production data pipelines, utilizing languages such as Java, Python, Scala, Spark, and SQL. In addition, you should have proficiency or familiarity with: · Scripting and data extraction via APIs, along with composing SQL queries. · Integrating data more »

and able to guide how one could deploy infrastructure into different environments. Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop Good understanding of possible architectures involved in modern data system design (Data Warehouse, Data Lakes, Data Meshes) Ability to more »

and able to guide how one could deploy infrastructure into different environments. Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop Good understanding of possible architectures involved in modern data system design (Data Warehouse, Data Lakes, Data Meshes) Ability to more »

and Public Services, Healthcare, Life Sciences, and Transport. Essential Skills & Experience: Design and deploy data pipelines in big data architecture using Java, Python, Scala, Spark, and SQL. Execute tasks involving scripting, API data extraction, and SQL queries. Proficient in data cleaning, wrangling, visualization, and reporting. Specialised in AWS cloud more »

in programming languages and tools for data analysis, such as Python, R, and SQL You must be proficient in big data technologies, such as Spark, Kafka and/or Hadoop. A strong understanding of statistical analysis, predictive modelling, machine learning algorithms, and data development and optimisation is essential You more »

with data ingestion tools such as Airbyte and Fivetran, accommodating a wide array of data sources. Mastery of large-scale data processing techniques using Spark or Dask. Strong programming skills in Python, Scala, C#, or Java, and adeptness with cloud SDKs and APIs. Deep understanding of AI/ML more »

injection frameworks (Spring/Spring Boot, etc.). Desired – understanding of security frameworks/standards. Desired – understanding of data streaming and messaging frameworks (Kafka, Spark, etc.). Desired – understanding of distributed tracing and monitoring (Zipkin, OpenTracing, Prometheus, ELK stack, Micrometer metrics, etc.). Desired – understanding of containers (Docker, Kubernetes more »

understanding of cloud technologies (AWS, GCP, Azure, etc.) Desired understanding of security frameworks/standards Desired understanding of data streaming and messaging frameworks (Kafka, Spark, etc.) Desired understanding of distributed tracing and monitoring (Zipkin, OpenTracing, Prometheus, Grafana, ELK stack, Micrometer metrics, etc.) Desired understanding of containers (Docker, Kubernetes, Helm more »

leading business intelligence platform (e.g. Microsoft, Crystal, Qlik, SAP, Tableau). Good understanding of open source, big data, and cloud data platforms (e.g. Hadoop, Spark, Hive, Pentaho, AWS, Azure); given a business problem, you can analyse and evaluate options and recommend solutions. Proven experience in designing, building and maintaining more »

etc.) MLOps experience Nice to have: Familiarity with Git or other Version Control Systems Computer Vision Library exposure Understanding of Big Data Technologies (Hadoop, Spark etc) Experience with Cloud platforms (AWS, GCP or Azure) This is a fully remote role, but may require very occasional travel (once a month more »

APIs, infrastructure design load balancing, VMs, PostgreSQL, vector dbs. Senior ML Learning Engineer desirable skills: Version control (Git), computer vision libraries, Big Data (Hadoop, Spark), Cloud AWS, Google Cloud, Azure, and a knowledge of secure coding techniques PCI-DSS, PA-DSS, ISO27001. This is a fantastic opportunity to join more »

to: Backend technology, Python. Databases like MSSQL. Front-end technology, Java. Cloud platform, AWS. Programming language, JavaScript (React.js) Big data technologies such as Hadoop, Spark, or Kafka. What We Need from You: Essential Skills: A degree in Computer Science, Engineering, or a related field, or equivalent experience. Proficiency in more »

success. 💼 What You Bring to the Table: Expertise in designing and deploying production data pipelines within a big data architecture using Java, Python, Scala, Spark, and SQL. Proven experience in tasks like scripting, API data extraction, and SQL queries. Collaboration with engineering teams and integration of data engineering components more »

understanding of cloud technologies (AWS, GCP, Azure, etc.) Desired – understanding of security frameworks/standards Desired – understanding of data streaming and messaging frameworks (Kafka, Spark, etc.) Desired – understanding of distributed tracing and monitoring (Zipkin, OpenTracing, Prometheus, Grafana, ELK stack, Micrometer metrics, etc.) Desired – understanding of containers (Docker, Kubernetes, Helm more »

pipeline and workflow management and their tools such as Airflow. Strong understanding of relational SQL and NoSQL databases, including MongoDB and stream-processing systems: Spark-Streaming, Kinesis etc. Ability to understand any scripting language and tools. Rewards & Benefits TCS is consistently voted a Top Employer in the UK and more »

and coding environments. Bonus Skills: Python/PHP/Typescript/ReactJS AI/ML models and usage ETL pipelines in AWS (Glue/Apache Spark) API Load testing If you would like more information on the role or like to apply for then please send your CV more »

Data Analytics in Azure Synapse Analytics, Azure Analysis Services Data Ingestion and Storage including Azure Data Factory, Azure Databricks, Azure Data Lake, Kafka and Spark Streaming, Azure EventHub/IoT Hub, and Azure Stream Analytics Experience with Object-oriented/object function scripting languages: Python preferred more »

messaging frameworks and/or distributed tracing/monitoring, this will put you in a good position. Tech stack includes AWS, GCP, Azure, Kafka, Spark, Zipkin, OpenTracing, Prometheus, Grafana, ELK stack, Micrometer metrics, Docker, Kubernetes, Helm, automating deployment, releases, testing in CI, continuous delivery pipelines. more »