26 to 50 of 96 Amazon Kinesis Jobs

skills. Excellent communication interpersonal and presentation skills. Desired Skills: Experience with containerization technologies (e.g. Docker Kubernetes). Experience with data streaming platforms (e.g. Kafka Kinesis). Experience with data visualization and business intelligence tools. Experience with Agile development methodologies. AWS Certifications (e.g. AWS Certified Data Analytics - Specialty AWS Certified More ❯

Experience building RESTful APIs and mobile libraries. Experience with tools like Jenkins/CodeBuild/Firebase. Knowledge of the AWS service stack (e.g. Lambda, Kinesis, DynamoDB, Api Gateway, AWS EC2, RDS, etc). Experience with Git. Ability to learn new technologies & paradigms as required. We offer you an adventure More ❯

structured and unstructured data from multiple sources, ensuring efficient data ingestion, transformation, and storage. Develop and optimize data lake and data warehouse solutions using Amazon S3, Redshift, Athena, and Lake Formation. Implement data governance, security, and compliance best practices, including IAM roles, encryption, and access controls. Monitor and optimize More ❯

NoSQL databases. Secure development practices. Git-based source control. Knowledge of CI automation systems such as Jenkins Bonus points for: Event streaming (e.g. Kafka, Kinesis) and change data capture (CDC). Messaging (e.g. RabbitMQ, SQS). Docker and Kubernetes. Solution and architecture design. Test-driven development (TDD). AWS More ❯

Amazon Marketing team is working on a platform that will provide real-time insights of traffic, sales, deals, and engagement and is looking for a rock star data engineer to build this. At Amazon, understanding customer data is paramount to our success in making it Earth's most … measurably effective marketing organization. This cuts across all of the investments we do across various verticals of A.in, Prime, Fashion, Fresh, Pay, etc. At Amazon, you will be working in one of the world's largest and most complex data environments. You will be part of a team that … will work with the marketing, retail, finance, analytics, machine learning, and technology teams to provide real-time data processing solutions that give Amazon leadership, marketers, and PMs timely, flexible, and structured access to customer insights. The team will be responsible for building this platform end to end using the More ❯

experience in Java development with strong Spring Boot expertise. Solid background in building cloud-native applications , particularly using AWS services such as S3, SQS, Kinesis, or Apache Flink. Strong knowledge of stream processing , low-latency systems, and microservice architectures. Demonstrated leadership experience, including mentoring and guiding junior developers. Proficient More ❯

experience in Java development with strong Spring Boot expertise. Solid background in building cloud-native applications , particularly using AWS services such as S3, SQS, Kinesis, or Apache Flink. Strong knowledge of stream processing , low-latency systems, and microservice architectures. Demonstrated leadership experience, including mentoring and guiding junior developers. Proficient More ❯

based APIs for internal and external data delivery. Familiarity with one or more of the following would also be beneficial: Scala AWS services like Kinesis, RDS, Elasticache, S3, Athena, Data pipeline, Glue, Lambda, EMR, Spark, EC2, ECS, CloudWatch or Elastic Beanstalk Jenkins or similar tools would also be a More ❯

REST based APIs for internal and external data delivery. Familiarity one or more of the following would also be beneficial : Scala AWS services like Kinesis, RDS, Elasticache, S3, Athena, Data pipeline, Glue, Lambda, EMR, Spark, EC2, ECS, CloudWatch or Elastic Beanstalk Jenkins or similar tools would also be a More ❯

Job ID: AWS EMEA SARL (UK Branch) Amazon Web Services (AWS) is the leading cloud provider, providing virtualized infrastructure, storage, networking, messaging, and many other services to customers all over the world. AWS runs a globally distributed environment, operating at massive levels of scale. Businesses, from start-ups to … enterprises, run their operations and applications on AWS' multi-tenant infrastructure. About Amazon Security Diverse Experiences Amazon Security values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is … just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why Amazon Security? 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 More ❯

high throughput, scalable, resilient, and secure data pipelines. Experience with AWS technologies: Glue, Athena, S3, Step Functions, Lambda, RDS (Aurora Postgres), DMS, Redshift, QuickSight, Kinesis Firehose. Expert knowledge of SQL. Hands-on experience with Kafka. Hands-on experience with Terraform. Hands-on experience with Python in a Data Analytics More ❯

like Junit, TestNg, Selenium, Mockito, etc - 2+ years of building and maintaining cloud computing infrastructure experience, mainly Native AWS (SQS, Lambda, DynamoDb, Step Functions, Kinesis, etc) Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation More ❯

Java. Strong knowledge of relational and NoSQL databases. Git-based source control. Knowledge of CI automation systems such as Jenkins. Event streaming (e.g. Kafka, Kinesis) and change data capture (CDC). Docker and Kubernetes. Solution and architecture design. Previous experience working in e-commerce and/or financial services. More ❯

at scale Excellent communication skills and the ability to work independently in a remote environment ? Bonus Points: Experience with real-time data streaming (Kafka, Kinesis) Exposure to data governance and security best practices in cloud environments Previous work in a high-compliance industry (finance, healthcare, etc.) Why Join? Work More ❯

Have excellent knowledge of AWS services (ECS, IAM, EC2, S3, DynamoDB, MSK). Our Technology Stack: Python and Scala Starburst and Athena Kafka and Kinesis DataHub ML Flow and Airflow Docker and Terraform Kafka, Spark, Kafka Streams and KSQL DBT AWS, S3, Iceberg, Parquet, Glue and EMR for our More ❯

Experience developing, testing, and deploying data pipelines, data lakes, data warehouses, and data marts using ideally AWS services such as S3, Glue, Athena, EMR, Kinesis, and Lambda Understanding of the principles behind designing and implementing data lake, lake house and/or data mesh architecture Problem solving skill with More ❯

Labor Category: Software Engineer Position Title: DevOps Engineer Position Level: Level 3 - Senior Salary: Up to $200,000.00 per year Core Hours: 9am to 4pm Location: Chantilly VA Description: Position Requires a Top Secret (TS/SCI) Clearance with a More ❯

on enterprise financial systems that manage and process large data volumes Excellent experience working with AWS cloud infrastructure, particularly Lambda, S3 Buckets, Step Functions, Kinesis and ideally being certified Ideally some understanding of Java development A background in Investment Management or Investment Banking, preferably having worked on a similar More ❯

Developing and maintaining ETL processes using SQL and Python. Building aggregated Metrics Dashboards. Working with AWS or Azure Big Data tools (Glue, Athena, Redshift, Kinesis, Data bricks, azure analytics, Data explorer). Using cloud-based storage and functions (S3, Blob, Lambda, Azure Functions). Applying data engineering methodologies (Datawarehouse More ❯

warehousing principles, data modelling practice, Excellent knowledge of creation and maintenance of data pipelines - ETL Tools (e.g. Apache Airflow) and Streaming processing tools (e.g. Kinesis) Strong problem-solving and analytical skills, with the ability to troubleshoot and resolve complex data-related issues Proficient in data integration techniques including APIs More ❯

warehousing principles, data modelling practice, Excellent knowledge of creation and maintenance of data pipelines - ETL Tools (e.g. Apache Airflow) and Streaming processing tools (e.g. Kinesis) Strong problem-solving and analytical skills, with the ability to troubleshoot and resolve complex data-related issues Proficient in data integration techniques including APIs More ❯

warehousing principles, data modelling practice, ·Excellent knowledge of creation and maintenance of data pipelines - ETL Tools (e.g. Apache Airflow) and Streaming processing tools (e.g. Kinesis) ·Strong problem-solving and analytical skills, with the ability to troubleshoot and resolve complex data-related issues ·Proficient in data integration techniques including APIs More ❯

warehousing principles, data modelling practice, Excellent knowledge of creation and maintenance of data pipelines - ETL Tools (e.g. Apache Airflow) and Streaming processing tools (e.g. Kinesis) Strong problem-solving and analytical skills, with the ability to troubleshoot and resolve complex data-related issues Proficient in data integration techniques including APIs More ❯

and Virtualisation (Windows and Linux). Infrastructure as Code and Operational Automation (e.g. Terraform, Ansible). Message Queueing and Streaming Fabrics (e.g. AMQP, Kafka, Kinesis). Docker and Kubernetes. Scripting (Shell and PowerShell). Basic Coding with a bias for Infrastructure (Python, Go, C#). IAM Policy and Authentication More ❯

experience developing, testing, and deploying data pipelines, data lakes, data warehouses, and data marts using ideally AWS services such as S3, Glue, Athena, EMR, Kinesis, and Lambda. Experience of major operating platforms and their linkage, connectivity functions and issues. Cloud Security - Experience/skills of addressing concept issues and More ❯