51 to 75 of 154 Amazon Kinesis Jobs in the UK

models Hands-on experience building and optimising ETL and ELT pipelines at scale Deep practical knowledge of AWS data services including Redshift, Glue, EMR, Kinesis and S3 Experience with modern data engineering tools such as dbt, Spark or Flink Proven experience with SQL and NoSQL databases including PostgreSQL, MySQL ...

teams.• A bachelor's degree in a relevant field or equivalent practical experience.Useful, but not required• Event streaming or real-time processing with Kafka, Kinesis, Flink, Spark Structured Streaming, or similar technologies.• Distributed processing with Spark and familiarity with Parquet, Avro, JSON, and open table formats.• Search or retrieval ...

strong experience in Big Data technologies such as: Spark, Hadoop etc. Practical knowledge of building real-time event streaming pipelines (e.g., Kafka, Spark Streaming, Kinesis). Proficiency in AWS cloud environments. Proven experience developing modern data architectures including Data Lakehouse and Data Warehousing. A solid understanding of CI/ ...

system design. Certifications such as CISSP, CISM, CCSP, or cloud security certifications are desirable. Desirable AWS CDK (TypeScript) AWS DMS/change‐data‐capture, Kinesis Firehose, or other streaming‐ingest tooling Entra ID (Azure AD) SSO and SCIM provisioning FinOps/cloud cost optimisation A background working with regulated ...

data analytics and software Proficiency in Python programming language and common data science packages. Experience with data engineering tools (e.g. Apache Spark, AWS Glue, Kinesis, Snowflake, Apache Airflow) Experience in building data pipelines and data streaming applications. Experience with tools to support the software and analytics development workflow (e.g. ...

Contract Senior CXE Engineer - Amazon Connect Day Rate - DoE - Contract Length - Initial 6 months - Rolling extensions UK Remote based - Some travel for essential meetings | Candidates must be eligible to work and reside in the UK About the Role You will spend the majority of your time in code … pressure-test them, propose better patterns, and own the implementation quality of your workstream from first commit through production cutover. This role blends deep Amazon Connect platform engineering, generative AI development on Bedrock and Claude, and full-stack serverless work, with regular direct interaction with customer engineering teams. Responsibilities ...

unstructured data) Proficiency with Parquet/Delta Lake or other modern data storage formats Experience with streaming architectures using Kafka, Event Hubs, or Kinesis for real-time data processing Knowledge of data architectures supporting AI/ML workloads, including vector databases, feature stores and MLOps pipelines Experience processing ...

public cloud platforms like AWS, GCP, and Azure, with a preference for AWS.Proficiency in real-time streaming applications using Apache Spark Streaming, Apache Kafka, Amazon Kinesis, and emerging cloud serverless managed services.J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world ...

MQTT, HTTP/REST, WebSockets, Docker, Git, and AWS CodePipeline or similar CI/CD tools. Nice to have: AWS IoT Core, Kinesis data streaming, message queues, serverless architectures, Docker, connected devices, IoT ecosystems, large-scale device management platforms, BLE, WiFi connectivity protocols, Rust, C/C++, systems programming ...

unstructured data) Proficiency with Parquet/Delta Lake or other modern data storage formats Experience with streaming architectures using Kafka, Event Hubs, or Kinesis for real-time data processing Knowledge of data architectures supporting AI/ML workloads, including vector databases, feature stores and MLOps pipelines Experience processing ...

unstructured data) Proficiency with Parquet/Delta Lake or other modern data storage formats Experience with streaming architectures using Kafka, Event Hubs, or Kinesis for real-time data processing Knowledge of data architectures supporting AI/ML workloads, including vector databases, feature stores and MLOps pipelines Experience processing ...

unstructured data) Proficiency with Parquet/Delta Lake or other modern data storage formats Experience with streaming architectures using Kafka, Event Hubs, or Kinesis for real-time data processing Knowledge of data architectures supporting AI/ML workloads, including vector databases, feature stores and MLOps pipelines Experience processing ...

robust data quality, validation, reconciliation, and audit controls across betting, trading, and customer data domains. Develop streaming and micro-batch data solutions using AWS Kinesis, Apache Kafka, or Amazon MSK to support real-time sportsbook and in-play data feeds. Build and maintain data solutions using AWS services … uptime You're strong on AWS data engineering AWS is your primary cloud — you're confident across Glue, Lambda, Athena, S3, Redshift, RDS, Kinesis, MSK, and Step Functions You've built real-time or near-real-time pipelines using streaming frameworks — Kinesis Data Streams, Kafka, Flink, or Spark ...

Description Amazon Web Services (AWS) is the leading cloud provider, providing virtualized infrastructure, storage, networking, messaging, and many other services to customers all over the world. AWS runs a globally distributed environment, operating at massive levels of scale. Businesses, from start-ups to enterprises, run their operations and applications … multi-tenant infrastructure Description Amazon Web Services (AWS) is the leading cloud provider, providing virtualized infrastructure, storage, networking, messaging, and many other services to customers all over the world. AWS runs a globally distributed environment, operating at massive levels of scale. Businesses, from start-ups to enterprises, run their ...

offer the following skills & experience. Strong experience in Python, PySpark/Spark, Databricks, Azure Data Factory, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, SonarQube, PyTest. Experience designing, building and supporting scalable data pipelines and data products in cloud environments. Experience developing and maintaining REST APIs using frameworks ...

Data quality/validation experience: designing metrics and KPIs to verify and automate management of data quality. Good working experience of AWS (e.g. S3, Kinesis, Glue, Redshift, Lambda and EMR) and/or Azure data services (e.g. ADF, Synapse, Fabric, Azure Functions). Desirable Skills Working experience in Data ...

with NVIDIA Omniverse, OpenUSD, or Unreal Engine.Cloud platform expertise across AWS, Azure, or GCP.Geospatial technologies including PostGIS, GeoJSON, Cesium, or GIS platforms.Experience with Kafka, Kinesis, or Pub/Sub.Exposure to edge computing technologies such as NVIDIA Jetson.Knowledge of robotics, ROS, industrial protocols, OPC-UA, or Modbus.Experience building dashboards ...

connecting enterprise API integrations, and implementing agentic guardrails. Data Engineering (30%): Practical experience implementing components of data pipelines, including real-time streaming tools (AWS Kinesis, Kafka), data orchestration (dbt, Airflow), and managing vector databases for RAG architectures. Observability & Cost Management: SRE/Platform experience with the practical application ...

connecting enterprise API integrations, and implementing agentic guardrails. Data Engineering (30%): Practical experience implementing components of data pipelines, including real-time streaming tools (AWS Kinesis, Kafka), data orchestration (dbt, Airflow), and managing vector databases for RAG architectures. Observability & Cost Management: SRE/Platform experience with the practical application ...

connecting enterprise API integrations, and implementing agentic guardrails. Data Engineering (30%): Practical experience implementing components of data pipelines, including real-time streaming tools (AWS Kinesis, Kafka), data orchestration (dbt, Airflow), and managing vector databases for RAG architectures. Observability & Cost Management: SRE/Platform experience with the practical application ...

connecting enterprise API integrations, and implementing agentic guardrails. Data Engineering (30%): Practical experience implementing components of data pipelines, including real-time streaming tools (AWS Kinesis, Kafka), data orchestration (dbt, Airflow), and managing vector databases for RAG architectures. Observability & Cost Management: SRE/Platform experience with the practical application ...

prompt-injection, content filtering). Domain-Specific AI for AEC: BIM/IFC extraction, CAD or point-cloud processing. Event-Driven Architectures: Kafka or Kinesis; schema registries (Confluent, AWS Glue); exactly-once processing. AEC Domain Knowledge: Experience in the Architecture, Engineering, and Construction industry; familiarity with industry standards ...

end.Technical Proficiency: Strong experience with Python for building backend services and data pipelines. Familiarity with AWS services (e.g. S3, RDS/Postgres, Kinesis, ECS, Lambda) and infrastructure tooling (Terraform).Data Ingestion: Experience designing pipelines that handle varied, schema-evolving, high-volume payloads reliably and at scale — including robust error ...

end. Technical Proficiency: Strong experience with Python for building backend services and data pipelines. Familiarity with AWS services (e.g. S3, RDS/Postgres, Kinesis, ECS, Lambda) and infrastructure tooling (Terraform).Data Ingestion: Experience designing pipelines that handle varied, schema-evolving, high-volume payloads reliably and at scale — including robust ...

edge, Databricks Mosaic AI, Vector Search and Unity Catalog, or Azure OpenAI, Azure AI Foundry and Azure AI Search. AWS: Glue, Lambda, Step Functions, Kinesis, EMR, Athena, Redshift, S3 data lakes; and, for the AI edge, Amazon Bedrock, Knowledge Bases for Bedrock About Capgemini Hybrid working: The places ...