26 to 50 of 107 Amazon Kinesis Jobs in England

find this uncomfortable. Nice to have: Experience building Data Mesh or Lakehouse architectures. Familiarity with Kubernetes, Docker, and real-time streaming technologies (e.g. Kafka, Kinesis). Exposure to ML engineering pipelines or MLOps frameworks. The Zego ways of working Teams work better with time to collaborate and space ...

find this uncomfortable. Nice to Have: Familiarity with Data Mesh or Lakehouse architectures. Familiarity with Kubernetes, Docker, and real-time streaming technologies (e.g. Kafka, Kinesis). Exposure to ML engineering pipelines or MLOps frameworks. The Zego ways of working Teams work better with time to collaborate and space ...

working smarter. Nice to have: Experience building Data Mesh or Lakehouse architectures. Familiarity with Kubernetes, Docker, and real‐time streaming technologies (e.g. Kafka, Kinesis). Exposure to ML engineering pipelines or MLOps frameworks. What’s it like to work at Zego? Joining Zego is a career‐defining move. People ...

technologies including Spark, Hadoop, or similar distributed processing frameworks. Experience building real-time event streaming solutions using technologies such as Kafka, Spark Streaming, or Amazon Kinesis within AWS environments. Proven expertise designing modern data architectures including Data Lakehouse and Data Warehousing solutions, alongside CI/CD, DevOps practices ...

another strongly typed language Internal developer platforms or shared engineering services AWS Connect, voice, telephony or contact centre technologies Event streaming technologies such as Kinesis, EventBridge, Kafka or SQS/SNS Why this role? Youll be joining a team where you can have genuine ownership over the technology ...

scalable, consumer-oriented data access Build and optimise batch and real-time pipelines Work with streaming and event-driven technologies such as Kafka, Flink, Kinesis, and Pub/Sub Orchestrate workflows using Airflow, Dataflow, and Glue Process and transform large datasets using Spark and Flink Design production-ready systems ...

infrastructure-as-code practices Hands-on expertise with distributed data processing frameworks (e.g., Apache Spark, Hadoop) and real-time data streaming technologies (e.g., Kafka, Kinesis, Spark) Track record of collaborating with cross-functional teams (engineering, analytics, business stakeholders) to deliver impactful data solutions Experience evaluating, selecting, and integrating emerging ...

Experience with: o Data warehousing and lake architectures o ETL/ELT pipeline development o SQL and NoSQL databases o Distributed computing frameworks (Spark, Kinesis etc) o Software development best practices including CI/CD, TDD and version control. o Containerisation tools like Docker or Kubernetes o Experience with ...

Experience with: o Data warehousing and lake architectures o ETL/ELT pipeline development o SQL and NoSQL databases o Distributed computing frameworks (Spark, Kinesis etc) o Software development best practices including CI/CD, TDD and version control. o Containerisation tools like Docker or Kubernetes o Experience with ...

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 ...

including Spark, Hadoop, or similar distributed processing frameworks. Practical experience building real-time event streaming pipelines using technologies such as Kafka, Spark Streaming, or Amazon Kinesis within AWS environments. Proven expertise designing modern Data Lakehouse and Data Warehousing architectures, alongside a solid understanding of CI/CD, DevOps ...

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 ...

warehouse and data lake design/building and data movement. AWS data and analytics services (or open-source equivalent) such as EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB. What you can expect Work to agile best practices and cross-functionally with multiple teams and stakeholders. You’ll be using your ...

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 ...

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 ...

Expert Python and SQL skills, with experience working with large datasets and distributed systems. Hands-on experience with AWS services, including Redshift, Lambda, EC2, Kinesis and Batch. Experience working with relational and NoSQL databases, alongside strong data modelling skills. A solid understanding of data governance, data quality and data ...

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. ...

clever one. Tech Stack Includes Languages & Frameworks: Perl, Python, Terraform, Chef Frontend: React, HTML, CSS (Tailwind) AWS Ecosystem: EC2, S3, EKS, Lambda, RDS, Athena, Kinesis, SES Databases & Search: PostgreSQL, MySQL, SOLR Monitoring: Grafana, Prometheus, ElasticSearch While we look out for all of these skills, we do not expect experience ...

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 ...

lifecycle, from ingestion and processing through to transformation, storage and consumption. Build and optimise data solutions using AWS services such as Glue, EMR, Redshift, Kinesis, Lambda and DynamoDB. Work with large volumes of structured and unstructured data, integrating information from multiple sources. Develop data solutions using technologies including Python ...

lifecycle, from ingestion and processing through to transformation, storage and consumption. Build and optimise data solutions using AWS services such as Glue, EMR, Redshift, Kinesis, Lambda and DynamoDB. Work with large volumes of structured and unstructured data, integrating information from multiple sources. Develop data solutions using technologies including Python ...

lifecycle, from ingestion and processing through to transformation, storage and consumption. Build and optimise data solutions using AWS services such as Glue, EMR, Redshift, Kinesis, Lambda and DynamoDB. Work with large volumes of structured and unstructured data, integrating information from multiple sources. Develop data solutions using technologies including Python ...

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 ...