1 to 25 of 33 Amazon Kinesis Jobs

Diversity and Inclusion. Role : Machine Learning engineer Key Responsibilities Work with our customers and focus on our AWS Analytics and ML service offerings such Amazon Kinesis, AWS Glue, Amazon Redshift, Amazon EMR, Amazon Athena, Amazon Sagemaker and more. Help our customers to remove the … Solution Architects, Data Scientists and Service Engineering teams Experience with design, development and operations that leverages deep knowledge in the use of services like Amazon Kinesis, Apache Kafka, Apache Spark, Amazon Sagemaker, Amazon EMR, NoSQL technologies and other 3rd parties Develop and define key business questions … Science, Engineering, Mathematics or a related field Experience of Data platform implementation, including 3+ years of hands-on experience in implementation and performance tuning Kinesis/Kafka/Spark/Storm implementations Experience with analytic solutions applied to the Marketing or Risk needs of enterprises Basic understanding of machine more »

Cloud Data Fusion. NoSQL Databases. Dynamo DB/Neo4j/Elastic, Google Cloud Datastore. Snowflake Data Warehouse/Platform Streaming technologies and processing engines, Kinesis, Kafka, Pub/Sub and Spark Streaming. Experience of working CI/CD technologies, Git, Jenkins, Spinnaker, GCP Cloud Build, Ansible etc Experience and more »

Cloud Data Fusion. NoSQL Databases. Dynamo DB/Neo4j/Elastic, Google Cloud Datastore. Snowflake Data Warehouse/Platform Streaming technologies and processing engines, Kinesis, Kafka, Pub/Sub and Spark Streaming. Experience of working CI/CD technologies, Git, Jenkins, Spinnaker, GCP Cloud Build, Ansible etc Experience and more »

Experience with high speed distributed computing frameworks like FLINK, Apache Spark, Kafka Streams, etc [Preferred] Experience with distributed message brokers like Kafka, RabbitMQ, ActiveMQ, Amazon Kinesis, etc. [Preferred] Experience with cloud technologies and migrations. Experience preferred with AWS foundational services like VPCs, Security groups, EC2, RDS, S3 ACLs … KMS, AWS CLI and IAM etc [Preferred] Experience developing and delivering technical solutions using public cloud service providers like Amazon, Google [Required] Experience writing unit and integration tests with testing frameworks like Junit, Citrus [Required] Experience working with various types of databases like Relational, NoSQL [Required] Experience working with more »

Java Experience with high speed distributed computing frameworks like FLINK, Apache Spark, Kafka Streams, etc Experience with distributed message brokers like Kafka, RabbitMQ, ActiveMQ, Amazon Kinesis, etc. Experience with cloud technologies and migrations. Experience preferred with AWS foundational services like VPCs, Security groups, EC2, RDS, S3 ACLs, KMS … AWS CLI and IAM etc Experience developing and delivering technical solutions using public cloud service providers like Amazon, Google Experience writing unit and integration tests with testing frameworks like Junit, Citrus Experience working with various types of databases like Relational, NoSQL Experience working with Git Working knowledge of DevOps more »

services (Apache Spark, Beam or equivalent). • In-depth knowledge on key technologies like Big Query/Redshift/Synapse/Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF etc. • Excellent consulting experience and ability to design and build solutions, actively contribute more »

Experience with high speed distributed computing frameworks like FLINK, Apache Spark, Kafka Streams, etc [Preferred] Experience with distributed message brokers like Kafka, RabbitMQ, ActiveMQ, Amazon Kinesis, etc. [Preferred] Experience with cloud technologies and migrations. Experience preferred with AWS foundational services like VPCs, Security groups, EC2, RDS, S3 ACLs more »

reporting. • Specialised in AWS cloud technologies for ETL, data warehouse, and data lake design. • Hands-on experience with AWS services like EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB. • Capable of processing large volumes of structured and unstructured data on AWS. • Familiarity with AWS best practices in data engineering, data science more »

Engineer; Adeptness in utilising AWS and Azure data and analytics services (or their open-source equivalents), including but not limited to EMR, Glue, RedShift, Kinesis, Lambda, Data Factory, and Databricks. Strong experience in data engineering, data science, and product development, encompassing experience in both stream and batch processing. Proficiency more »

Engineer; Adeptness in utilising AWS and Azure data and analytics services (or their open-source equivalents), including but not limited to EMR, Glue, RedShift, Kinesis, Lambda, Data Factory, and Databricks. Strong experience in data engineering, data science, and product development, encompassing experience in both stream and batch processing. Proficiency more »

you build it, you run it. It’s a full end to end role within the scope of backend services. Tech : Java, AWS (S3, Kinesis Streams, SQS, SNS, Lambda, ECS Fargate), NoSQL, Micronaut + more. About you The ideal candidate will have demonstrable experience with Java and AWS services. more »

operates at peak performance, scalability, and reliability. Technical Skills required: RedShift Glue (inc. Glue Studio, Glue Data Quality, Glue DataBrew) Step Functions Athena Lambda Kinesis Python, Spark, Pyspark, SQL Your contributions as a Data Engineer will directly impact the organization's operations and revenue. In addition to a competitive more »

Master's preferred) 7+ years as a Network Engineer/Architect, with focus on SDN, AWS, Azure, and security Hands-on with AWS (Lambda, Kinesis, DynamoDB, S3) and Azure for serverless apps Deep knowledge of network security (firewalls, IDPS), reducing security incidents by 70% Certifications: CCNP, CCIE, AWS Certified more »

data integration, data platform) using cloud-based hyperscales, with emphasis on AWS services including S3, Redshift, Lambda, Step Functions, DynamoDB, AWS Glue, RDS, Athena, Kinesis, Quicksight. Hands on experience on design solutions using Snowflake and DBT. Familiarity with Databricks or Informatica. Hands on experience in designing data models aligned more »

/C++, Python, Go or C# React, Vue.JS, Angular, TypeScript, JavaScript NodeJS, Spring Boot, PHP Mongo, MySQL, PostgreSQL, GraphQL Apache Kafka, Ni-Fi, RabbitMQ, Amazon Kinesis AWS, Azure Microservice architecture, Agile experience, Infrastructure as Code, serverless, event-driven architecture, RESTful APIs Dont look at the above as a more »

Technology Stack: We are cloud-native, born in AWS, and embrace their services across our platform. Our technology stack includes Python, Django, ECS, Postgres, Kinesis, Cloudfront, Flink, Elastic Search, Lambda, Amazonmq, Terraform, and Postgres. Tooling includes Datadog, Linear, Slack, Notion and CircleCI. If you think you tick the boxes more »

DevOps Engineer Location: 🌐 Primarily home based with monthly in person meetings in Manchester 🌐 Salary range: 💷 £70,000 to £80,000 💷 Technology: AWS (EC2, S3, Kinesis, Lambda), Terraform, Prometheus Burns Sheehan is working with a thriving SaaS payments business to help identify their next Senior DevOps Engineer. Reporting to the more »

and Snowflake. Experience with various programming languages, such as Python and Java. Familiarity with streaming/event-driven architecture, including tools like Kafka and Kinesis/Firehose. Expertise in data ingestion techniques, encompassing both stream and batch processing. Proficiency using tools like Terraform for Infrastructure-as-Code and AWS more »

AWS (ideally in both) Knowledge of MPP systems such as Athena, BigQuery, EMR, Hive, Iceberg Exposure to data streaming technologies such as Kafka or Kinesis more »

weight from the legacy system without actively changing it, to move to a cloud-native, event-driven architecture Tech Stack: Javascript, Node, Typescript, AWS (Kinesis, Event Bridge, DynamoDB, Lambda. What will you be doing? Working along side the team on the market place platform Working towards OKRS Modernising the more »

similar regulated environment. Technologies they use: Cloud: AWS with a preference for native and serverless services (e.g., API Gateway, AWS Lambda, AWS Step Functions, Kinesis, DynamoDB) Programming languages: Python for software engineering, Terraform, AWS SAM, and Cloud Formation for IaC Database: SQL (Postgres) and NoSQL (DynamoDB) APIs: Primarily RESTful …/CD: GitHub Actions, AWS CodePipeline, Jenkins, and tools such as Trivy, Bandit, Sonarqube, Dependabot, etc. Big data: AWS services like S3, Redshift, Glue, Kinesis The role is mostly remote but there is a requirement to head to either their London or North office once a week (some weeks more »

Implement Data Solutions: Develop scalable and efficient data architecture solutions on AWS. Create and maintain data pipelines using AWS services such as Glue, Lambda, Kinesis, and Data Pipeline. Design data models and databases using AWS RDS, Redshift, DynamoDB, and other relevant technologies. Data Integration and Management: Integrate various data … Information Technology, or a related field. Master’s degree preferred. Technical Expertise: Proven experience with AWS data services including S3, Redshift, RDS, Glue, Lambda, Kinesis, and Athena. Strong understanding of data modeling, ETL processes, and data warehousing. Proficiency in SQL and experience with database management systems. Familiarity with data more »

Data Architect will design and implement solutions using a range of AWS infrastructure, including S3, Redshift, Lambda, Step Functions, DynamoDB, AWS Glue, RDS, Athena, Kinesis, Quicksight. We also widely use other tech such as Snowflake, DBT, Databricks, Informatica, Matillion, Airflow, Tableau, Power BI etc. The Lead Data Architect will … aligned to the functional and non-functional requirements Work closely with other members of agile deployment team Selection & configuration of appropriate, base technologies (eg Amazon Redshift, RDS) Selection & application of appropriate standards & principles Capture & implementation of functional & non-functional requirements Expert in data modelling and latest data trends including more »

Discover. A brighter future. With us, you'll do meaningful work from Day 1. Our collaborative culture is built on three core behaviors: We Play to Win, We Get Better Every Day & We Succeed Together. And we mean it - we more »

using Python and the AWS Cloud Development Kit. You'll use a variety of services such as SNS, SQS and Lambda for event streams, Amazon Redshift, S3 and AWS Glue for data storage & reporting and Amazon SageMaker for our pioneering machine learning products. We are a growing team … products and the communication skills to work with our colleagues across ECS to help them use our services. Python andAWS Services such as S3, Kinesis, Lambda, Redshift, DynamoDB, Glue and SageMaker Infrastructure-as-Code tools and approaches (we use the AWS CDK with CloudFormation) Data processing frameworks such as more »