1 to 25 of 39 Permanent Amazon Kinesis Jobs in London

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 ...

cloud platform:Azure (Synapse, Data Factory, Databricks)AWS (S3, Glue, Redshift, Lambda)GCP (BigQuery, Dataflow)Data Platform ExpertiseExperience with:Data warehousing solutionsStreaming technologies (Kafka, Kinesis, Pub/Sub)Familiarity with DevOps/DataOps practicesCI/CD pipelinesInfrastructure as Code (Terraform, ARM, CloudFormation)About NTT DATANTT DATA ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Data Modeling Data Integration & Ingestion Data Manipulation and Processing GitHub, GitHub Actions, Azure DevOps Data Factory, Databricks, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, SonarQube, PyTest AI based Code developed and AI-built automated data pieplinesKey CharacteristicsTechnology expert who constantly pursues knowledge enhancement and has an inherent ...

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 ...

enterprise-scale implementations of cloud-native data platforms such as Databricks and SnowflakeGood understanding of AWS data analytics services, including Redshift, EMR, Glue, Athena, Kinesis, Lake Formation, MSK, and S3 data lake patterns, with demonstrated experience architecting end-to-end data solutionsExperience navigating complex data governance, security, and compliance ...

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 and services. We offer talented security professionals the chance to accelerate their careers with opportunities … stores.The 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 ...

Java, Spring Boot, Spring, GraphQL, and GraphQL Federation. Integrate with databases, web services, or AWS services (Neo4j, DynamoDB, RDS, S3, Parameter Store, SQS, SNS, Kinesis) to support ingestion, storage, and messaging pipelines. Champion clean code, SOLID principles, and engineering best practices, setting standards and mentoring engineers. Collaborate with product ...

experience of build tools – Maven and Gradle Knowledge and experience of relational DBMS – Postgresdb Knowledge of using AWS services via Terraform - Secrets Manager, Kinesis Firehose, S3, Open Search etc Knowledge and experience of configuring and using New Relic, Kibana for observing metrics and configuring alerts. Knowledge and experience ...

technical reviews, maintain high coding standards, and thrive in Agile, collaborative team environments.Experience designing and operating distributed, event-driven systems using Kafka Streams, AWS Kinesis, or similar frameworks.Proven ability to optimize microservices for low-latency, high-throughput processing at significant scale.Preferred Qualifications:Familiarity with AWS cloud infrastructure, auto-scaling ...

design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB), GraphQL and modern data warehouse tools including Snowflake and DataBricksAbility to think strategically and relate architectural decisions ...

energetic and dynamic environmentCompetent and comfortable working with Typescript, Serverless technologiesYou should have extensive experience working with AWS (API Gateway, Lambda, Dynamo, DB, SQS, Kinesis, S3, ELK + More)Great experience in implementing best practices like TDD, SOLID and clean codeExperience in developing REST-APIs, Microservices, relational databases ...

role.Key Skills:Azure StackELT ExperienceData ModelingData Integration & IngestionData Manipulation and ProcessingGitHub, GitHub Actions, Azure DevOpsData Factory, Databricks, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, SonarQube, PyTestKey CharacteristicsTechnology expert who constantly pursues knowledge enhancement and has an inherent curiosity to understand work from multiple dimensions.Deep data focus with ...