31 to 55 of 143 Apache Spark Jobs in England

skills include: Experience deploying, securing and supporting cloud infrastructure platforms Understanding of security frameworks/standards Understanding of data streaming and messaging frameworks (Kafka, Spark, etc.) and modern database technologies (Cockroach etc.) Understanding of distributed tracing and monitoring (Zipkin, OpenTracing, Prometheus, ELK stack, Micrometer metrics, etc.) Experience with containers more »

Kotlin. Familiarity with Kotlin or willingness to learn. Industrial experience with AWS/GCP/Azure. Knowledge of common data products such as Hadoop, Spark, Airflow, PostgreSQL, S3, etc. Problem solving/troubleshooting skills and attention to detail. 👋 About Us High-quality data access and provisioning shouldn't be more »

creates a sense of trust with stakeholders. Preferred qualifications, capabilities and skills Experience with deep learning frameworks (pytorch, tensorflow) Experience with big-data technologies (Spark, Hadoop) or distributed computation frameworks (Dask, Modin) Hands on experience with Natural Language Processing (NLP) and Large Language Models (LLMs) Experience of creating and more »

Essential Skills Proven experience as a Data Engineer Well versed in the following: cloud-based data storage solutions, data lakes, customer data platforms. (Python, Spark, SQL, Cloud Data Environments such as AWS, GCP, Azure) Good understanding of data modelling methods and data partitioning and compaction methods in Data Lake more »

and manipulation skills Experience with big data technologies and graph modelling (e.g. neo4j, Azure Digital Twin and other Azure data technologies, Hadoop, Hive, and Spark etc) is a plus Coding capability, SQL and scripting in R or python is a plus Why Join our team? At bp, we provide more »

managers, to understand data requirements and deliver high-quality solutions as well as architecting data ingestion, transformation, and storage processes using tools such as Apache Spark, Azure Data Factory, and other similar technologies. Other core duties include optimizing data pipeline performance, ensuring data accuracy, reliability, and timely delivery. … Services Certifications in relevant technologies, such as Azure Data Engineer or Databricks Certified Developer Experience with real-time data processing and streaming technologies like Apache Kafka or Azure Event Hubs Knowledge of data visualization tools, such as Power BI or Tableau Contributions to open-source projects or active participation more »

engineers of varying levels of experience. Flexibility and willingness to adapt to new software and techniques. Nice to Have Experience working with projects in Apache Spark, Databricks of similar. Expert cloud platform knowledge, e.g. Azure What will be your key responsibilities? A technical expert and leader on the more »

programming language (Java, C++, Kotlin would be beneficial) Cloud experience (we use Azure, AWS or GCP welcome) Kafka or exposure to ActiveMQ, RabbitMQ or Spark Orchestration and Containerisation experience (Kubernetes, Docker and Microservices) Creating greenfield microservices, this team plan to add a wealth of functionality to existing systems as 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 »

tools such as Informatica MDM, Informatica AXON, Informatica EDC, and Collibra • MySQL, SQL Server, Oracle, Snowflake, PostgreSQL and NoSQL databases • Programming languages such as Spark or Python • Amazon Web Services, Microsoft Azure or Google Cloud and distributed processing technologies such as Hadoop Benefits : • Base Salary 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 »

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 »

one or more object-oriented programming languages (e.g. Python, Go, Java, C++) Advanced SQL knowledge. Experience with big data technologies (e.g. Hadoop, Hive, and Spark). Knowledge of experimental design and analysis. Customer-centric and pragmatic mindset. Focus on value delivery and swift execution, while maintaining attention to detail. more »

remediation Nice to have Experience with Azure or AWS Experiences with python and other programming languages such as Java, Kotlin or Scala Experience with Spark or other Big Data frameworks Experience with Kubernetes for data and ML workloads Experience working with open-source machine learning libraries 8 years of 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 »

Platforms Must have 8 years’ Experience with Relational Databases like Oracle NoSQL Databases and or Big Data technologies e g Oracle SQL Server Postgres Spark Hadoop other Open Source Must have experience in Data Security Solutions Identity and Access Management and Data Security Access Management Must have 3 years more »

o Must have 8 years’ Experience with Relational Databases like Oracle NoSQL Databases and or Big Data technologies e g Oracle SQL Server Postgres Spark Hadoop other Open Source o Must have experience in Data Security Solutions Identity and Access Management and Data Security Access Management o Must have more »

Linux, APIs, infrastructure design load balancing, VMs, PostgreSQL, vector dbs. 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. Note: as there are actually two roles more »

of data structures, algorithms, and statistical techniques for machine learning. Experience with cloud platforms (e.g., AWS, Azure, GCP) and distributed computing technologies (e.g., Hadoop, Spark) is a plus. Excellent communication skills, with the ability to effectively collaborate with interdisciplinary teams and communicate technical concepts to non-technical stakeholders. If more »

o Must have 8 years’ Experience with Relational Databases like Oracle NoSQL Databases and or Big Data technologies e g Oracle SQL Server Postgres Spark Hadoop other Open Source o Must have experience in Data Security Solutions Identity and Access Management and Data Security Access Management o Must have more »

Engineering experience Demostrate In-depth knowledge of large-scale data platforms (Databricks, Snowflake) and cloud-native tools (Azure Synapse, RedShift) Experience of analytics technologies (Spark, Hadoop, Kafka) Have familiarity with Data Lakehouse architecture, SQL Server, DataOps, and data lineage concepts Demonstrate In-depth knowledge of large-scale data platforms more »

mining, data analysis, and strong software engineering skills. Strong understanding of Data Engineering Proficiency in AWS, data warehousing (Snowflake, Databricks, Redshift), big data frameworks (Spark, Kafka), container orchestration platforms (Kubernetes), and data integration/ETL tools. Strong written and verbal communication skills, with the ability to explain technical concepts more »

CI/CD/YAML/ARM/Terraform MSBI Traditional Stack (SQL, SSAS, SSIS, SSRS) Azure Automation/PowerShell Azure Streaming Analytics/Spark Streaming Azure Functions/C# .NET PowerApps Data Science Master Data Management/MDS WHY ADATIS? There’s a long list of reasons, from more »