12 of 12 Apache Spark Jobs in Leeds

We are seeking an experienced Kafka Real-Time Architect to design and implement scalable, high-performance real-time data processing systems leveraging Apache Kafka. In this role, you will be responsible for architecting and managing Kafka clusters, ensuring system scalability and availability, and integrating Kafka with various data processing … approach to addressing business data needs and ensuring optimal system performance. Key Responsibilities: Design & Architecture: Architect and design scalable, real-time streaming systems using Apache Kafka, ensuring they are robust, highly available, and meet business requirements for data ingestion, processing, and real-time analytics. Kafka Cluster Management: Configure, deploy … and troubleshoot issues to maintain smooth operations. Integration & Data Processing: Integrate Kafka with key data processing tools and platforms, including Kafka Streams , Kafka Connect , Apache Spark Streaming , Apache Flink , Apache Beam , and Schema Registry . This integration will facilitate data stream processing, event-driven architectures, and More ❯

We are seeking an experienced Kafka Real-Time Architect to design and implement scalable, high-performance real-time data processing systems leveraging Apache Kafka. In this role, you will be responsible for architecting and managing Kafka clusters, ensuring system scalability and availability, and integrating Kafka with various data processing … approach to addressing business data needs and ensuring optimal system performance. Key Responsibilities: Design & Architecture: Architect and design scalable, real-time streaming systems using Apache Kafka, ensuring they are robust, highly available, and meet business requirements for data ingestion, processing, and real-time analytics. Kafka Cluster Management: Configure, deploy … and troubleshoot issues to maintain smooth operations. Integration & Data Processing: Integrate Kafka with key data processing tools and platforms, including Kafka Streams , Kafka Connect , Apache Spark Streaming , Apache Flink , Apache Beam , and Schema Registry . This integration will facilitate data stream processing, event-driven architectures, and More ❯

for at least the past 5 years and being a UK national or dual UK national. Experience in prominent languages such as Python, Scala, Spark, SQL. Experience working with any database technologies from an application programming perspective - Oracle, MySQL, Mongo DB etc. Experience with the design, build and maintenance More ❯

and compliance. Collaborate with stakeholders and external partners. Skills & Experience: Strong experience with AWS data technologies (e.g., S3, Redshift, Lambda). Proficient in Python, Apache Spark, and SQL. Experience in data warehouse design and data migration projects. Cloud data platform development and deployment. Expertise across data warehouse and More ❯

data cycle. Proven experience working with AWS data technologies (S3, Redshift, Glue, Lambda, Lake Formation, Cloud Formation), GitHub, CI/CD. Coding experience in Apache Spark, Iceberg, or Python (Pandas). Experience in change and release management. Experience in database warehouse design and data modeling. Experience managing data More ❯

analytics/architecture/security using native technologies of least one cloud platform (AWS, Azure, GCP) Expertise in prominent languages such as Python, Scala, Spark, SQL. Experience working with any database technologies from an application programming perspective - Oracle, MySQL, Mongo DB etc. Expertise in leading the design, build and More ❯

Terraform experience. Strong Kubernetes experience, we want to see people who have worked on Kubernetes implementation, involved in architecture, hands on migration etc K8S, Spark S3 Engine Terraform Ansible CI/CD Hadoop Linux/RHEL - on prem background/container management Grafanna or Elastic Search- for observability Kubernetes More ❯

/structured data handling Ability to work independently and collaboratively in cross-functional teams Nice to have: Experience with big data tools such as Spark, Hadoop, or MapReduce Familiarity with data visualisation tools like QuickSight, Tableau, or Looker Exposure to microservice APIs and public cloud ecosystems beyond AWS AWS More ❯

a lot of time on Disaster Recovery aspects Read up and explain new features like KRAFT Kafka Resiliency Any Real time tech experience like Spark Confluence Kafka expertise , not acceptable – Do not submit profiles. ͏ As part of t... More ❯

to join its innovative team. This role requires hands-on experience with machine learning techniques and proficiency in data manipulation libraries such as Pandas, Spark, and SQL. As a Data Scientist at PwC, you will work on cutting-edge projects, using data to drive strategic insights and business decisions. … e.g. Sklearn) and (Deep learning frameworks such as Pytorch and Tensorflow). Understanding of machine learning techniques. Experience with data manipulation libraries (e.g. Pandas, Spark, SQL). Git for version control. Cloud experience (we use Azure/GCP/AWS). Skills we'd also like to hear about More ❯

a lot of time on Disaster Recovery aspects Read up and explain new features like KRAFT Kafka Resiliency Any Real time tech experience like Spark Confluence Kafka expertise , not acceptable – Do not submit profiles. ͏ As part of the CTO Data Ingestion Service, the incumbent will be required to: Designing … maintaining Kafka clusters to ensure high availability and scalability. Integrating Kafka with other data processing tools and platforms such as Kafka Streams, Kafka Connect, Spark Streaming Schema Registry, Flink and Beam. Collaborating with cross-functional teams to understand data requirements and design solutions that meet business needs. Implementing security … guidance and support to development operations teams. Staying updated with the latest Kafka features, updates and industry practices. ͏ Required Skills Experience Extensive Experience with Apache Kafka and real-time architecture including event driven frameworks. Strong Knowledge of Kafka Streams, Kafka Connect, Spark Streaming, Schema Registry, Flink and Beam. More ❯

maintaining Kafka clusters to ensure high availability and scalability. Integrating Kafka with other data processing tools and platforms such as Kafka Streams, Kafka Connect, Spark Streaming Schema Registry, Flink and Beam. Collaborating with cross-functional teams to understand data requirements and design solutions that meet business needs. Implementing security … guidance and support to development operations teams. Staying updated with the latest Kafka features, updates and industry practices. Required Skills Experience : Extensive Experience with Apache Kafka and real-time architecture including event driven frameworks. Strong Knowledge of Kafka Streams, Kafka Connect, Spark Streaming, Schema Registry, Flink and Beam. More ❯