11 of 11 Amazon Kinesis Jobs in Manchester

Glue Catalog, and AWS Glue Databrew. They are experienced in developing batch and real-time data pipelines for Data Warehouse and Datalake, utilizing AWS Kinesis and Managed Streaming for Apache Kafka. They are also proficient in using open source technologies like Apache Airflow and dbt, Spark/Python or More ❯

covering the entire stack — from Java microservices to UI testing , all built on AWS-native services . Java , Spring Boot AWS – Lambda, EventBridge, SQS, Kinesis Streams, Data Analytics, API Gateway RESTful API testing frameworks Exposure to TypeScript (UI/service-level test scripting) What you’ll bring: Hands-on More ❯

covering the entire stack — from Java microservices to UI testing , all built on AWS-native services . Java , Spring Boot AWS – Lambda, EventBridge, SQS, Kinesis Streams, Data Analytics, API Gateway RESTful API testing frameworks Exposure to TypeScript (UI/service-level test scripting) What you’ll bring: Hands-on More ❯

ideally a software engineering mindset. Excellent experience with Containers. Strong knowledge of Python, Airflow, SQL, and Linux. Proficient in AWS Lambda, ECS, Athena, S3, Kinesis, Glue, CloudWatch/Terraform/CDK, Tableau Online. They are particularly keen on Senior Data Engineers who utilize good AI-based tooling for productivity More ❯

proven ability to lead and inspire teams. You bring deep technical skills in Python, SQL, and AWS services such as EC2, Redshift, Lambda and Kinesis, alongside strong stakeholder management and commercial awareness. You’ll also bring: Proven experience designing and implementing data pipelines, ETL processes, and warehousing in cloud More ❯

proven ability to lead and inspire teams. You bring deep technical skills in Python, SQL, and AWS services such as EC2, Redshift, Lambda and Kinesis, alongside strong stakeholder management and commercial awareness. You’ll Also Bring Proven experience designing and implementing data pipelines, ETL processes, and warehousing in cloud More ❯

databases. Design & Implementation: Experience with three or more of the following: Azure Synapse, Azure SQL DB, Cosmos DB, Mongo DB, Redshift, S3, Stream Analytics, Kinesis, Azure Data Factory, IoT Hub, Azure ML Studio, SageMaker Modelling, Azure Data Lake Gen2, HD Insight. Desirable Skills Experience in Fabric and Synapse is More ❯

pan-European growth goals and client needs. Data Platform: Oversee the architecture of our data lakehouse (Snowflake, Databricks) and real-time pipelines (Kafka, AWS Kinesis). Salesforce Integrations: Ensure seamless workflows across Financial Services Cloud, Marketing Cloud, and CPQ. Decision Engine: Prioritise AI/ML use cases (e.g., dynamic More ❯

pan-European growth goals and client needs. Data Platform: Oversee the architecture of our data lakehouse (Snowflake, Databricks) and real-time pipelines (Kafka, AWS Kinesis). Salesforce Integrations: Ensure seamless workflows across Financial Services Cloud, Marketing Cloud, and CPQ. Decision Engine: Prioritise AI/ML use cases (e.g., dynamic More ❯

and client needs. 2. Product Portfolio Leadership - Data Platform: Oversee the architecture of our data lakehouse (Snowflake, Databricks) and real-time pipelines (Kafka, AWS Kinesis). - Salesforce Integrations: Ensure seamless workflows across Financial Services Cloud, Marketing Cloud, and CPQ. - Decision Engine: Prioritise AI/ML use cases (e.g., dynamic More ❯

our objectives. So each team leverages the technology that fits their needs best. You'll see us working with data processing/streaming like Kinesis, Spark and Flink; application technologies like PostgreSQL, Redis & DynamoDB; and breaking things using in-house chaos principles and tools such as Gatling to drive … . Monitoring and optimising applications written for the JVM . Relational and NoSQL databases, particularly PostgreSQL, Aurora, & DynamoDB with experience modelling & optimising query performance. Kinesis or any other streaming data. Understanding of statistical analysis of data. Experience with or an interest in " DevOps " tooling & infrastructure as code. A strong More ❯