76 to 100 of 137 Apache Spark Jobs in England

Experience with a JVM language, Kotlin, Java, Scala, Clojure Knowledge of Typescript and React is beneficial Exposure to data pipelines using technologies such as Spark and Kafka Experience with cloud services (ideally AWS) Hybrid working 1-2 days per week in Central London. £110,000 depending on experience. Please more »

experience with Python (2+ Years) Experience working with REST Microservices Strong SQL Experience working with very large data sets. Knowledge of big data tools (Spark, Kafka etc) Experience working in finance (Preferred) Strong formal education - ideally in Computer Science If this sounds of interest, then please do not hesitate more »

software solutions. Skills Required: In depth experience designing & building backend applications in Python. Familiarity with Big Data and Machine Learning technologies (NumPy, PyTorch, TensorFlow, Spark). Experience developing in a highly Agile/Scrum environment. Familiarity with CICD, containerisation, deployment technologies & cloud platforms (Jenkins, Kubernetes, Docker, AWS). Benefits more »

analytical abilities. Preferred Skills: Experience with cloud databases (e.g., AWS, Azure, Google Cloud Platform). Knowledge of big data tools and frameworks (e.g., Hadoop, Spark). Certification in database management (e.g., Microsoft Certified: Azure Data Engineer Associate). What We Offer: Competitive salary and comprehensive benefits package. Opportunity to more »

with JavaScript or Python Experience deploying software into the cloud and on-premise. Developing software products. Experience with EKS, Kubernetes, OpenSearch/ElasticSearch, MongoDB, Spark or NiFi. Experience with microservices architectures. Experience with AI/ML systems TO BE CONSIDERED…. Please either apply by clicking online or emailing more »

need broad expertise across various areas of the technology/software domain. Proficiency in AWS or Big Data, Hadoop or other SQL databases, Lucene, Spark, web app development (JavaScript, Node.js), Docker, Jenkins, Git, Python, or Ruby would be highly beneficial. Key Responsibilities: Meet with clients throughout the sales and more »

software solutions. Skills Required: In depth experience designing & building backend applications in Python. Familiarity with Big Data and Machine Learning technologies (NumPy, PyTorch, TensorFlow, Spark). Experience developing in a highly Agile/Scrum environment. Familiarity with CICD, containerisation, deployment technologies & cloud platforms (Jenkins, Kubernetes, Docker, AWS). Benefits more »

as Python, C#, .Net and/or JavaScript is highly desirable. Experience with cloud platforms (e.g., Azure) and data technologies (e.g., SQL, NoSQL, Hadoop, Spark). PLEASE NOTE: You must have either UK citizenship or permanent leave to remain in the UK. Due to the high volume of applications more »

DETAIL AND ACCURACY IN DATA ANALYSIS · EFFECTIVE COMMUNICATION SKILLS TO CONVEY COMPLEX FINDINGS TO NON-TECHNICAL STAKEHOLDERS · EXPERIENCE WITH BIG DATA TECHNOLOGIES (E.G., HADOOP, SPARK). Could this be you? BNP Paribas Personal Finance believe it’s a positive attitude and passion to make things happen that matters most. more »

Pharmaceutical industry experience Experience in distributed system design Experience with Pure/Alloy Working knowledge of open-source tools such as AWS lambda, Prometheus Spark, Hadoop orSnowflake knowledge would be a plus. Additional Information Location: This role can be delivered in a hybrid nature from one of these offices more »

Pharmaceutical industry experience Experience in distributed system design Experience with Pure/Alloy Working knowledge of open-source tools such as AWS lambda, Prometheus Spark, Hadoop orSnowflake knowledge would be a plus. Additional Information Location: This role can be delivered in a hybrid nature from one of these offices more »

Pharmaceutical industry experience Experience in distributed system design Experience with Pure/Alloy Working knowledge of open-source tools such as AWS lambda, Prometheus Spark, Hadoop orSnowflake knowledge would be a plus. Additional Information Location: This role can be delivered in a hybrid nature from one of these offices more »

Hybrid-3 days a week JOB DETAILS Must Have - Platform engineer, Azure DevOps and CI/CD tools, Azure Cloud, Microsoft Fabric, Azure Services, Apache Spark, Experience of using IAC (terraform, APIs), Data Engineer, Big Data, PySpark more »

master and meta data management Experience with Azure SQL Database, Azure Data Factory, Azure Storage, Azure IaaS/PaaS related database implementations. Experience with Apache spark and new Fabric framework would be a plus. more »

for business improvements Lead a small team of data scientist on Neural Networks LLMs (CNN & RNN), ML, & NLP NLP/AI/ML/Spark/Python/Data scientist/Machine Learning Engineer/OCR/Deep Learning Requirements Bachelor's degree or equivalent experience in quantitative field more »

Service, tackling the ML Ops loop as a service, interesting challenge. They are going to enable edge AI, another pioneering aspect. Tech stack: Athena, Spark, ECS, Temporal, Python, Flask, Redis, Postgres, React, Plotly, Docker more »

complex issues they are facing. out data-driven analysis, craft solutions to resolve business problems. Artificial Intelligence and data science approaches (Python, R, Matlab, Spark etc). database technologies such as Hadoop. tools that expand the companies tool kit, advancing their ability to serve clients. Experience needed Strong consulting more »

complex issues they are facing. out data-driven analysis, craft solutions to resolve business problems. Artificial Intelligence and data science approaches (Python, R, Matlab, Spark etc). database technologies such as Hadoop. tools that expand the companies tool kit, advancing their ability to serve clients. Experience needed in a more »

MongoDB/DynamoDB/etc.) Solid understanding of data governance principles and how to implement these across the business Knowledge of Big Data technology (Spark/Hadoop/etc.) Excellent communication skills across various levels of stakeholders Benefits: Salary available £120,000 Bonus scheme Enhanced pension contribution available Genuine more »

of databases. Snowflake is widely used, as are Docker and Kubernetes for containerisation. ETL and ELT tech are also used every day, primarily Airflow, Spark, Hive and a lot more. You’ll need to come from a strong academic background with some commercial experience in a data heavy software more »

reports. 7. Knowledge of data integration techniques and tools (e.g., SSIS, Informatica) is desirable. 8. Experience in working with big data technologies (e.g., Hadoop, Spark) is a plus. 9. Excellent communication and collaboration skills, with the ability to effectively interact with technical and non-technical stakeholders. 10. Strong attention more »

and manage data lake/data warehouse platforms. (Some of the following types of providers: AWS, Microsoft Azure, Google Cloud Platform, Databricks, Snowflake, Cloudera, Spark, MongoDB) Done this at companies using high volumes of data, ideally in retailing. Other sectors where used high volume data would also be relevant more »

Redshift, DynamoDB, Glue and SageMaker Infrastructure-as-Code tools and approaches (we use the AWS CDK with CloudFormation) Data processing frameworks such as pandas, Spark and PySpark Machine learning concepts like model training, model registry, model deployment and monitoring Development and CI/CD tools (we use GitHub, CodePipeline more »

processes, and data warehousing. - Significant exposure and hands on at least 2 of the programming languages - Python, Java, Scala, GoLang. - Significant experience with Hadoop, Spark and other distributed processing platforms and frameworks. - Experience working with Open table/storage formats like delta lake, apache iceberg or apache hudi. - Experience of developing and managing real time data streaming pipelines using Change data capture (CDC), Kafka and Apache Spark. - Experience with SQL and database management systems such as Oracle, MySQL or PostgreSQL. - Strong understanding of data governance, data quality, data contracts, and data security best practices. - Exposure more »

DevOps experience in CI/CD. Experience using Tensorflow, Kubernetes, MLFlow, Kafka, and Airflow. Experience using Python is a must (tools like AWS and Spark are beneficial) Excellent communication skills and team and colleague engagement. A keen interest in problem-solving and using scalable machine learning to solve the more »