1 to 25 of 66 Permanent Amazon Kinesis Jobs in London

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 ...

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 ...

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 Our Behaviours Explore Boldly: We value engineers who are eager ...

dimensional modelling and layered architectures (Gold/Silver/Bronze or equivalent). Production experience with GCP (BigQuery, Dataflow, GCS) and AWS (S3, Iceberg, Kinesis, DynamoDB), you're comfortable operating across both clouds. Familiarity with OLAP and OLTP storage systems and an eagerness to build expertise in stream processing ...

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 ...

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 ...

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 ...

delivery needs. 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 ...

with delivery needs. 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 ...

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 ...

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 ...

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 ...

.Hands-on orchestration experience (e.g., Airflow, Dagster, Prefect) and CI/CD for data pipelines. Experience with streaming and event-driven data (e.g., Kafka, Kinesis, Pub/Sub) is highly desirable. Proficiency with infrastructure as code (e.g., Terraform, CloudFormation) and containerisation (Docker; Kubernetes beneficial).Strong understanding of data quality ...

platforms Strong Snowflake experience, or significant experience with comparable modern cloud data platforms Strong AWS experience Experience with services such as S3, Lambda, SQS, Kinesis or Firehose Strong dbt experience Excellent SQL skills Programming experience with Python, Node or another relevant language Extensive data modelling experience Strong understanding ...

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 ...

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 ...

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 ...

bring experience across: AWS including S3, EC2, Lambda and Glue Snowflake Python & SQL Airflow or similar ETL/orchestration tooling Streaming technologies such as Kinesis Data warehousing and data modelling CI/CD and modern engineering practices Building and maintaining complex data pipelines Leading and developing Data Engineering teams ...

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 ...

partner status (competency badges, certified-headcount targets, co-sell with partner account teams) Streaming and event-driven architecture in production (Kafka/MSK, Kinesis, Structured Streaming) Data products, mesh or federated ownership models applied on a real programme, not just in theory ML and AI platform work: feature stores ...

partner status (competency badges, certified-headcount targets, co-sell with partner account teams) Streaming and event-driven architecture in production (Kafka/MSK, Kinesis, Structured Streaming) Data products, mesh or federated ownership models applied on a real programme, not just in theory ML and AI platform work: feature stores ...

Control Tower, CloudFormation, Terraform Migration tooling: AWS MGN, AWS DMS, AWS DataSync, AWS SCT, and AWS MAP framework Data and AI platform: AWS Glue, Kinesis, Lake Formation, Bedrock, SageMaker — for integrated data platform and agentic AI roadmap phases Apply Azure/GCP knowledge to extend solution coverage on multi ...