1 to 25 of 80 Amazon Kinesis Jobs in England

solutions that are reliable, cost-effective, and built to grow. This isn’t a generalist role. You’ll be the go‐to expert for Amazon SNS, Amazon SQS, Amazon MQ, and the broader messaging ecosystem — including open‐source technologies like RabbitMQ, Apache ActiveMQ, and MQTT‐based architectures. … responsibilities Act as the primary technical advisor for messaging and event‐driven architecture engagements across EMEA customers Design and validate architectures using Amazon SNS, Amazon SQS, Amazon MQ, and related services (EventBridge, Kinesis) tailored to customer workloads Guide customers migrating from on‐premises message brokers (RabbitMQ ...

architect solutions that are reliable, cost-effective, and built to grow.This isn't a generalist role. You'll be the go-to expert for Amazon SNS, Amazon SQS, Amazon MQ, and the broader messaging ecosystem — including open-source technologies like RabbitMQ, Apache ActiveMQ, and MQTT-based architectures. … you.Key job responsibilities- Act as the primary technical advisor for messaging and event-driven architecture engagements across EMEA customers- Design and validate architectures using Amazon SNS, Amazon SQS, Amazon MQ, and related services (EventBridge, Kinesis) tailored to customer workloads- Guide customers migrating from on-premises message ...

effective data solutions that meet complex business needs and support informed decision-making. Experience Required: Strong AWS expertise, including tools such as Glue, Lambda, Kinesis, EMR, Athena, DynamoDB, CloudWatch, SNS and Step Functions. Skilled in modern programming, particularly Python, Java, Scala and PySpark. Solid knowledge of data storage ...

includes: Data Platform: Databricks, DBT, Fivetran Languages: Python, SQL Databases: SQL Server (legacy, being modernised), plus lakehouse storage on S3 Cloud & Infrastructure: AWS (EventBridge, Kinesis, Lambda, S3, EC2), Terraform (Infrastructure as Code) Streaming: Kafka Containers & Orchestration: ECS, Kubernetes Who We’re Looking For A data or platform engineer with ...

Software Dev Engineer, Amazon Security Automation Job ID: 10498444 | Amazon UK Services Ltd. At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products … NextGen Security Automation team is looking for a skilled and driven Software Development Engineer (SDE II) to build autonomous security solutions that protect Amazon’s customers. As an SDE II, you will leverage AI/ML technologies to automate detection, analysis, and response across proactive, offensive, and defensive security ...

data pipelines using Java (primary) and technologies like Kafka, Flink, or Spark Developing real-time streaming solutions and event-driven architectures using AWS services (Kinesis, MSK, Lambda, Glue) Contributing to data architecture, modelling, and best practices across modern data platforms Deploying and maintaining solutions using CI/ ...

Experience in building complex data pipelines/ETL/ELT scripts • Extensive experience with SQL • Excellent knowledge of AWS and components such as S3, Kinesis, DMS, SNS, Glue, Athena, RDS • Experience with Data Warehouse databases like Snowflake/Redshift/BigQuery • Experience with Python/PySpark • Experience with implementing ...

data pipelines using Java (primary) and technologies like Kafka, Flink, or Spark Developing real-time streaming solutions and event-driven architectures using AWS services (Kinesis, MSK, Lambda, Glue) Contributing to data architecture, modelling, and best practices across modern data platforms Deploying and maintaining solutions using CI/ ...

with SQLExperience with Data Warehouse databases like Snowflake/Redshift/BigQueryExperience with PythonPreferably have some knowledge of AWS and components such as S3, Kinesis, DMS, SNS, Glue, Athena, RDSExperience with implementing Rest APIs.Business Intelligence (BI) knowledge/experienceKnowledge on tools like Terraform, Airflow, DBT and HarnessModern data engineering ...

Engineering DegreeExperience in building complex data pipelines/ETL/ELT scriptsExtensive experience with SQLExcellent knowledge of AWS and components such as S3, Kinesis, DMS, SNS, Glue, Athena, RDSExperience with Data Warehouse databases like Snowflake/Redshift/BigQueryExperience with Python/PySparkExperience with implementing Rest APIs.Business Intelligence ...

Engineering DegreeExperience in building complex data pipelines/ETL/ELT scriptsExtensive experience with SQLExcellent knowledge of AWS and components such as S3, Kinesis, DMS, SNS, Glue, Athena, RDSExperience with Data Warehouse databases like Snowflake/Redshift/BigQueryExperience with Python/PySparkExperience with implementing Rest APIs.Business Intelligence ...

trained will 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.BenefitsWhat it’s like to work at ZegoAt Zego, we operate like a high-performing sports team. ...

trained will 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.What’s it like to work at Zego At Zego, we operate like a high-performing sports ...

Data 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 ...

technologies 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 practices ...

engineering background with a track record of implementing and owning event streaming platforms Hands‐on experience working with stream technologies, primarily Kafka, but also Kinesis Experience designing and implementing stream processing applications with Flink Experience working with cloud‐based technologies such as AWS (MSK, S3, Lambda, ECS, SNS) Experience ...

practical experience with distributed data processing frameworks (e.g., Apache Spark, Flink, Hadoop).Strong expertise in message brokers and event streaming platforms (e.g., Apache Kafka, Kinesis).End-to-end exposure to data pipeline lifecycle development, including extensive experience with workflow orchestration tools (e.g., Apache Airflow, Dagster).Hands-on expertise with ...

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 ð Work to agile best practices and cross-functionally with multiple teams and stakeholders. You’ll be using ...

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 ...

considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectationsPreferred qualificationsExperience with streaming (Structured Streaming, Kafka/Event Hubs/Kinesis).Experience implementing data quality frameworks (Great Expectations, DQ) and data testing in CI.Exposure to Unity Catalog (or similar) for governance and fine-grained permissions.J.P. ...

mentor and support data engineers at all levels, influencing how data engineering evolves within GBR. The technologies in use include Redshift, EC2, Glue, Lambda, Kinesis Firehose, Athena, and S3. Proficiency in Python, SQL, and Bash is essential. You’ll encounter a wide range of source systems, from legacy technology ...

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 ...

least one cloud data platform (e.g. Databricks, Snowflake, AWS, Azure or GCP) and experience of associated technologies (for example with AWS: DynamoDB, Redshift, Kinesis Pipelines, Glue, Lambda, QuickSight, etc) ideally including practical/hands-on experience of migration to or adoption of a cloud data platform. Strong Databricks expertise ...

MongoDB/DocumentDB, MySQL) and analytical/data warehouse systems (Redshift) Experience building and scaling data pipelines (batch and streaming) using tools such as Kinesis, SQS/SNS, and Lambda Strong understanding of search and retrieval systems (Elasticsearch) and how data modelling choices affect downstream relevance and ranking Deep ...

handling of inputs/outputs, and adherence to resiliency and security expectations Preferred qualifications Experience with streaming (Structured Streaming, Kafka/Event Hubs/Kinesis). Experience implementing data quality frameworks (Great Expectations, DQ) and data testing in CI. Exposure to Unity Catalog (or similar) for governance and fine ...