101 to 125 of 132 Permanent Apache Spark Jobs in England

prem solutions to the cloud, including re-architecting Prior experience working on data focused projects e.g. data warehousing, big data, data streaming Proficiency with Apache Kafka, Apache Spark, Apache Flink etc. We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless more »

working closely with our product teams on existing projects and new innovations to support company growth and profitability. Our Tech Stack Python Scala Kotlin Spark Google PubSub Elasticsearch Bigquery, PostgresQL Kubernetes, Docker, Airflow Ke y Responsibilities Designing and implementing scalable data pipelines using tools such as Apache Spark … Data Infrastructure projects, as well as designing and building data intensive applications and services. Experience with data processing and distributed computing frameworks such as Apache Spark Expert knowledge in one or more of the following languages - Python, Scala, Java, Kotlin Deep knowledge of data modelling, data access, and more »

delivering moderate-to-complex data flows as part of a development team in collaboration with others. You’ll be confident using technologies such as: Apache Kafka, Apache NiFi, SAS DI Studio, or other data integration platforms. You can implement, deliver, and translate several data models, including unstructured data … and recognised standards to build solutions using various traditional or big data languages such as: SQL, PL/SQL, SAS Macro Language, Python, Scala, Apache Spark, Java, JavaScript etc, using various tools including SAS, Hue (Hive/Impala), Kibana (Elastic Search). Knowledge of data management on Cloud more »

preferably in a senior or lead role Strong proficiency in programming languages Python Expertise in designing and building data pipelines using ETL tools like Apache Spark or Apache Beam Experience with cloud-based data warehousing solutions such as Amazon Redshift, Google BigQuery, or Snowflake Proficiency in SQL more »

Computer Science or related field. 4+ Years as a practical Data Engineer Proficiency in Python, Java, or Scala programming. Familiarity with big data frameworks (Spark, Hadoop, etc..) Nice to have: Cloud migration experience with AWS, AZURE or GCP If this role has piqued your interest and you would like more »

quality testing frameworks. Proficiency in Python and familiarity with modern software engineering practices, including 12factor, CI/CD, and Agile methodologies. Deep understanding of Spark (PySpark), Python (Pandas), orchestration software (e.g. Airflow, Prefect) and databases, data lakes and data warehouses. Experience with cloud technologies, particularly AWS Cloud services, with more »

platform (preferably GCP). BSc/MSc in computer science, maths, physics or STEM subject. Basic knowledge of statistics and machine learning. Experience with Spark, Apache services, ETL tools, Data visualization and dashboards. Experience with streamed data processing, parallel compute, and/or event based architectures. Experience with more »

with Git for version control and project management, alongside some knowledge of Linux/Shell. data platform familiarity - previous experience of working with both Apache Spark and MapReduce data processing and analytics frameworks. and reporting expertise - experience with Tableau, Power BI, Excel alongside notebooks for experiment documentation. What 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 »

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 »

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 »

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 »

ideally in a start-up or scale-up. - Machine learning libraries and frameworks (TensorFlow, PyTorch, scikit-learn). - Python - Big data processing tools (e.g., Spark). The role offers a salary range of between £70-100K depending on experience. The successful candidate must be able to work from more »

test cases. Assist in backlog grooming. Key Skills/Experience: Extensive experience in developing Big Data pipelines in the cloud using technologies such as Apache Spark. Expertise in performing complex data transformations using Spark SQL queries. Experience orchestrating data pipelines using Apache Airflow. Proficiency in Git-based more »

and Primary Objectives We are seeking a highly experienced Kafka Developer with expertise in Kafka Streams and Big Data technologies (Hadoop, Hue, Hive, Impala, Spark). The ideal candidate will have strong knowledge of key-value databases and experience in developing microservices using Spring. The role involves designing and … various 24/7 applications with high-performance requirements. Key Skills/Knowledge Solid experience in Big Data technologies, specifically Hadoop, Hive, Java and Spark/Scala . Advanced SQL knowledge for testing changes and replicating code functionality. Proficient with code repositories like GIT and Maven. Strong DevOps knowledge more »

SQL Server, Sybase, Snowflake) Document databases (e.g. Mongo, ArangoDB, Couchbase, Solr) Big Data (e.g. Hadoop ecosystem, Bigtable) Data streaming (e.g. Kafka, Flink, Pulsar, Beam, Spark) Cloud databases (e.g. Snowflake, CockroachDB) Other database genres (e.g. Graph, Columnar, time series) In return, we’ll give you… A competitive basic salary … scheme A high spec laptop (of course!) Need more reasons? Here's a few more... Work with some of the most exciting new technologies Spark off co-workers who’ll challenge your thinking and help you to achieve your potential Deal openly and honestly with customers Benefit from a more »

and libraries for geospatial data analysis & modelling. Experience with cloud computing platforms such as Azure, AWS, Google Cloud, and distributed computing frameworks such as Apache Spark, for processing large geospatial datasets. Familiarity with geospatial databases and data visualisations such as tableau, QGIS & ArcGIS. Knowledge of satellite imagery analysis more »

and libraries for geospatial data analysis & modelling. Experience with cloud computing platforms such as Azure, AWS, Google Cloud, and distributed computing frameworks such as Apache Spark, for processing large geospatial datasets. Familiarity with geospatial databases and data visualisations such as tableau, QGIS & ArcGIS. Knowledge of satellite imagery analysis more »

and libraries for geospatial data analysis & modelling. Experience with cloud computing platforms such as Azure, AWS, Google Cloud, and distributed computing frameworks such as Apache Spark, for processing large geospatial datasets. Familiarity with geospatial databases and data visualisations such as tableau, QGIS & ArcGIS. Knowledge of satellite imagery analysis 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 »

major advantage Experience in building and enhancing compute, storage, and data platforms with exposure to open source products like Kubernetes, Knative, Ceph, Rook, Cassandra, Spark, Nate and the like. Hands-on with infrastructure-as-code tools and automation, such as Terraform, Ansible, or Helm. The role Tech Lead responsible more »

or Rust. Experience in building and enhancing compute, storage, and data platforms with exposure to open source products like Kubernetes, Knative, Ceph, Rook, Cassandra, Spark, Nate etc. Hands-on exp. with IaC tools and automation, such as Terraform, Ansible, or Helm. Active engagement or contributions to the open-source more »

AWS Redshift, and Python Experience with ETL processes, data integration, and data warehousing. Strong SQL skills Experience with Big Data technologies such as Hadoop, Spark, and Kafka Familiarity with cloud platforms (AWS, Azure, Google Cloud) Working knowledge of data visualisation tools (PowerBI, Tableau, Qlik Sense) Additional Skills: Client-facing 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 »