1 to 25 of 118 Amazon Kinesis Jobs in the UK

Data Factory.* Azure Data Engineer Associate and Databricks Certified Data Engineer Professional**AWS*** Proficiency with AWS Tools: Demonstrable experience using AWS Glue, AWS Lambda, Amazon Kinesis, Amazon EMR , Amazon Athena, Amazon DynamoDB, Amazon Cloudwatch, Amazon SNS and AWS Step Functions.* Programming Skills: Strong ...

including data pipelines, ETL/ELT processes, and data integration frameworks. Develop andoptimizedata architectures using AWS services such as S3, Glue, Lambda, Redshift, Kinesis, EMR, Amazon OpenSearch Service, and graph databases such as Amazon Neptune, and related technologies. Ensure solutions follow AWS best practices for security, performance … llbring Considerable experiencein data engineeringfocused on AWS data platforms and services. Strong hands-on experience withAWS data servicesincluding S3, Glue, Lambda, Redshift, Athena, EMR, Kinesis, Amazon OpenSearch Service, and graph databases such as Amazon Neptune, and related technologies. Proficiencyin programming languages such asPythonandSQL fordata processing and transformation. ...

source-code management. Strong troubleshooting and problem-solving skills. AWS Experience Candidates should have practical experience with relevant AWS data services, such as: Amazon S3 AWS Glue Amazon Redshift AWS Lambda Amazon Athena Amazon RDS AWS IAM Amazon CloudWatch Experience with services such as Kinesis, EMR, Step Functions or MWAA/Airflow would be advantageous. AWS data engineering roles commonly use services such as S3, Glue, Redshift, Lambda, Kinesis and IAM for data platforms and pipelines. Power BI Experience Power BI Desktop and Power BI Service. Dashboard and report development. Data modelling ...

Data Engineer, ETL Developer, Data Platform Engineer, or a similar role Strong hands-on experience with Python and PySpark Experience with AWS Glue, Amazon Athena, Amazon Redshift , and cloud-based data platforms Strong SQL skills and experience working with both relational and NoSQL databases Experience supporting or developing … Apache Iceberg or modern lakehouse solutions Experience working in Agile delivery environments Familiarity with Linux and Git-based version control Desirable experience Experience with Amazon Kinesis Experience using Jira Exposure to CI/CD pipelines and modern software engineering practices Qualifications Degree in Computer Science, Data Engineering, Software ...

Experience with CI/CD for data pipelines Nice to have AWS certification (Data Analytics Specialty or Data Engineer Associate) Experience with streaming data (Kinesis, MSK/Kafka) Familiarity with Infrastructure as Code (Terraform/CloudFormation) Experience with orchestration tools (Airflow, dbt) Experience in financial domain #J-18808-Ljbffr ...

Experience with CI/CD for data pipelines Nice to have AWS certification (Data Analytics Specialty or Data Engineer Associate) Experience with streaming data (Kinesis, MSK/Kafka) Familiarity with Infrastructure as Code (Terraform/CloudFormation) Experience with orchestration tools (Airflow, dbt) Experience in financial domain OtherLanguages English ...

translate business requirements into scalable technical solutions Desirable Experience AWS Data Services (Glue, EMR, Lambda, S3, Athena, Redshift) Streaming technologies such as Kafka or Kinesis Data modelling and metadata management AI/ML data pipelines and feature engineering Geospatial, sensor, operational or intelligence-related datasets Experience working within Defence ...

Experience handling health or patient data safely (GDPR, DSPT, data security). Experience with Git and version-controlled workflows. Experience with stream processing (e.g. Kinesis, Kafka). Familiarity with dbt for data transformation. Knowledge of containerised environments (e.g. Docker, ECS, or EKS). Able to structure data for self ...

architectures. Experience with some of EKS, Lambda, EventBridge, Step Functions, S3, DynamoDB, AWS Glue, Snowflake, Terraform and Transfer Family. Knowledge of streaming technologies (Kafka, Kinesis) and API integrations, and hands-on experience with monitoring tools (e.g. Grafana) and observability practices. Proficient with Terraform or CDK (infrastructure-as-code). ...

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 ...

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 ...

across: Batch data processing, ELT and orchestration. Modern streaming technologies such as Flink or comparable platforms. AWS data services, including S3, Lambda, Glue, Athena, Kinesis and RDS. Infrastructure as code using Terraform. CI/CD and automated testing. Lakehouse architecture and open table formats such as Iceberg. Medallion architecture ...

Develop and support real-time streaming pipelines and event-driven integrations. Integrate data from multiple sources (streaming, batch, APIs) using AWS managed services (e.g., Kinesis, MSK, Lambda, Glue). Data Architecture & Standards Contribute to data modelling, data architecture best practices, and modern patterns (e.g., medallion architecture). Ensure data ...

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 ...

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 ...

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 ...

security principles including Zero Trust, identity-first security, secrets management, and network segmentation. Desirable ExperienceExperience with Cribl and security data pipeline management. Knowledge of Kinesis, Amazon S3, Amazon Security Lake, or similar technologies. Understanding of OCSF and security data normalisation. Experience working within government, defence, highly regulated ...

principles including Zero Trust, identity-first security, secrets management, and network segmentation. Desirable Experience Experience with Cribl and security data pipeline management. Knowledge of Kinesis, Amazon S3, Amazon Security Lake, or similar technologies. Understanding of OCSF and security data normalisation. Experience working within government, defence, highly regulated ...

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 ...

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 ...

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/ ...

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/ ...

.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 ...