201 to 225 of 293 Amazon Kinesis Jobs

understanding of underwriting and claims processes within the insurance domain. Experience with Guidewire products, adding value to core insurance system integrations. Bonus capabilities include real-time data streaming (Kafka, Kinesis), machine learning workflow integration, and familiarity with modern data architecture concepts like data mesh and data fabric. About Capgemini Capgemini is a global business and technology transformation partner, helping More ❯

optimisation Solid understanding of data 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 and real-time ingestion Excellent More ❯

containerized applications (Docker) and container orchestrators Fluent in English - both written and verbal Nice to Have Knowledge in any of these areas: Python, JavaScript, OIDC, CloudFormation, AWS CDK, AWS Kinesis, Serverless architectures, Distributed tracing, ISO 27001, Penetration testing, CDNs, Queue systems #RemoteUK Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than More ❯

with version control tools such as Git. • Solid experience with backend development in Java (Spring Boot)/Kotlin with focus on RESTful APIs and event driven architecture (e.g. Kafka, Kinesis, SQS,MQTT). • Experience with CI/CD and micro-service architectures, not only using but building it. • Experience in using and integrating cloud services (preference for AWS), knowing More ❯

Scala) Experience with cloud platforms (AWS, GCP, or Azure) Experience with data warehousing and lake architectures ETL/ELT pipeline development SQL and NoSQL databases Distributed computing frameworks (Spark, Kinesis, etc.) Software development best practices including CI/CD, TDD, and version control Strong understanding of data modelling and system architecture Excellent problem-solving and analytical skills Experience in More ❯

and modern data architecture patterns . Familiarity with AI/ML workflows and their data requirements. Experience with API specifications and data integrations acrossETL and streaming services ( Glue, MSK, Kinesis, Kafka ) Familiarity with AI developer tools like Cursor and GitHub Copilot and desire to use them to 10x your throughput. Collaborative approach and excellent communication skills. Strong problem-solving More ❯

and Basic Penetration Testing Technologies • Operating Systems 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/Authorization schemes • Web Services and REST API More ❯

Data Engineers to co-develop solution designs, align architectural decisions, and ensure technical consistency across the platform. Prior experience with AWS and its data ecosystem (e.g., Redshift, Glue, Lambda, Kinesis) is beneficial. Expertise in modern data pipeline architectures, covering both batch and real-time/streaming workloads, including event-driven patterns. Strong understanding of CI/CD, DevOps, and More ❯

knowledge of ontologies and taxonomies. Data quality/validation experience: designing metrics and KPIs to verify and automate management of data quality. Good working experience of AWS (e.g. S3, Kinesis, Glue, Redshift, Lambda and EMR) and/or Azure data services (e.g. ADF, Synapse, Fabric, Azure Functions). Experience working with Defence or Central Government clients. Working experience in More ❯

knowledge of ontologies and taxonomies. Data quality/validation experience: designing metrics and KPIs to verify and automate management of data quality. Good working experience of AWS (e.g. S3, Kinesis, Glue, Redshift, Lambda and EMR) and/or Azure data services (e.g. ADF, Synapse, Fabric, Azure Functions). Working experience in Data Lakehouse environments such as Databricks, Snowflake and More ❯

Senior Ad Tech Consultant, Ad Tech Solutions, Amazon Ads 広告事業は、Amazonの中でも最も急成長している分野の1つです。当社のアドテクノロジー製品群(Amazon DSP(ADSP)、Amazon Marketing Cloud(AMC)、Amazon Ads APIs を含む)は、お客様がAmazonならではのメディア、オーディエンス、Eコマース資産を活用して、ビジネスに意味のある成果をもたらすことを可能にします。 Ad Tech Solutions (ATS)は、アドテク営業組織の技術ソリューション部門です。ATSは、APIとAWSサービスを基盤として、大手のお客様がAmazonのアドテクを活用してビジネス目標を達成できるよう支援することをミッションとしています。 ATSでは、このアジア市場の拡張に参画いただくシニアアドテクコンサルタントを募集しています。コンバージョントラッキング、ファーストパーティデータのアップロード、API開発、AMC SQLクエリのカスタマイズ、カスタムオーディエンスの構築に関する技術的な課題を解決し、お客様のビジネス目標達成を支援していただきます。アドテク営業チームと緊密に連携し、DSPとAMCの顧客導入を加速させ、広告ROIの向上と投資拡大を推進します。 お客様の組織のデータアナリスト、データサイエンティスト、ITアナリスト、開発者と協力して複雑な技術的課題を解決し、代理店やブランドが戦略的な広告およびデータに関する意思決定を行えるようサポートします。お客様のSQLスキルを評価・適応させ … 統合およびアドテクノロジーのロードマップに反映させます。 ベストプラクティス、パッケージ製品、認証パス、ホワイトペーパー、ワークショップの作成と提供に貢献します。 本ポジションは米国地域における顧客対応の役割です。必要に応じて顧客先への出張が求められます。 BASIC QUALIFICATIONS 7+ years of technical specialist, design and architecture experience 5+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience 7+ years of consulting, design and implementation of serverless distributed solutions experience 5+ years of software development with object oriented language experience 3+ years of cloud based solution … hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. Amazon is an Equal Opportunity Employer – Minority/Women/Disability/Veteran/Gender Identity/Sexual Orientation/Age. #J-18808-Ljbffr More ❯

Are you analytically sharp and passionate about applying advanced analytics to impact business decisions? Come and be a driving force of Amazon's International Emerging Stores Shopping experience team. The Amazon IES Shopping team owns the charter for defining the shopping experience across multiple category needs for Amazon's emerging markets. We are a large product organization … and country whom we serve. Key job responsibilities Build scalable solutions and self-serve platforms that provide data/KPIs to inform business decision-making. Investigate data sources across Amazon and expand existing device data infrastructure. Identify, develop, manage, and execute analyses to uncover opportunities and present written business recommendations to grow the business. Develop a thorough understanding of … of hands-on experience writing SQL queries. Experience with building and maintaining basic data artifacts (e.g., ETL, data models, queries). Experience with AWS services including S3, Redshift, EMR, Kinesis, and RDS. Experience in working and delivering end-to-end projects independently. Knowledge of distributed systems as it pertains to data storage and computing. Experience with data visualization tools More ❯

Snr Cloud Architect - Global Accounts, Professional Services, AWSI-SDT-APJ-Japan Job ID: Amazon Web Services Japan GK Our AWS Professional Services consultants deliver IT infrastructure and application architecture guidance, lead proof-of-concept projects, perform enterprise portfolio assessments, review operational best practices and conduct skills transfer workshops. AWS consultants collaborate with customers and partners to address security and … complex and large scale project management experience 5+ years of continuous integration and continuous delivery (CI/CD) experience 5+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience 5+ years of software development with object oriented language experience 3+ years of cloud based solution (AWS or equivalent), system, network and operating system experience Bachelor's degree … and written communication skills with stakeholders (Japanese language preferred along with English as second language) PREFERRED QUALIFICATIONS 5+ years of consulting, design and implementation of serverless distributed solutions experience Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity More ❯

Delivery Consultant - Data Analytics & GenAI, AWS Professional Services Public Sector Job ID: 2981230 | Amazon Web Services Australia Pty Ltd Are you a Data Analytics and GenAI specialist? Do you have real-time Data Analytics, Data Warehousing, Big Data, Modern Data Strategy, Data Lake, Data Engineering and GenAI experience? Do you like to solve the most complex and high scale … decisions and desired customer outcomes. Key job responsibilities: Expertise: Collaborate with pre-sales and delivery teams to help partners and customers learn and use services such as AWS Glue, Amazon S3, Amazon DynamoDB, Amazon Relational Database Service (RDS), Amazon Elastic Map Reduce (EMR), Amazon Kinesis, Amazon Redshift, Amazon Athena, AWS Lake Formation … Amazon DataZone, Amazon SageMaker, Amazon Quicksight and Amazon Bedrock. Solutions: Deliver technical engagements with partners and customers. This includes participating in pre-sales visits, understanding customer requirements, creating consulting proposals and creating packaged data analytics service offerings. Delivery: Engagements include projects proving the use of AWS services to support new distributed computing solutions that often span More ❯

Delivery Consultant - Data Analytics, AWS Professional Services Job ID: Amazon Web Services Australia Pty Ltd Are you a Data Analytics specialist? Do you have Real-time Data Analytics, Data Warehousing, Big Data, Modern Data Strategy, Data Lake and Data engineering experience? Do you like to solve the most complex and high scale (billions+ records) data challenges in the world … high impact projects that use the latest data analytics technologies? Would you like a career path that enables you to progress with the rapid adoption of cloud computing? At Amazon Web Services, we're hiring highly technical cloud architect specialised in data analytics to collaborate with our customers and partners to derive business value from latest in analytics services. … decisions and desired customer outcomes. Key job responsibilities - Expertise - Collaborate with pre-sales and delivery teams to help partners and customers learn and use services such as AWS Glue, Amazon S3, Amazon DynamoDB, Amazon Relational Database Service (RDS), Amazon Elastic Map Reduce (EMR), Amazon Kinesis, Amazon Redshift, Amazon Athena, AWS Lake Formation More ❯

Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work … as a trusted advisor to customers on industry trends and emerging technologies - Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the team Diverse Experiences Amazon 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 AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies More ❯

value through the adoption of Artificial Intelligence (AI)? Eager to learn from many different enterprise’s use cases of AWS ML and DL? Thrilled to be key part of Amazon, who has been investing in Machine Learning for decades, pioneering and shaping the world’s AI technology? At AWS ProServe India LLP (“ProServe India”), we are helping large enterprises … business impact to the organization. • Use Deep Learning frameworks like MXNet, Caffe 2, Tensorflow, Theano, CNTK, and Keras to help our internal customers build DL models. • Use SparkML and Amazon Machine Learning (AML) to help our internal customers build ML models. • Work with our Professional Services Big Data consultants to analyze, extract, normalize, and label relevant data. • Work with … 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 AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most More ❯

for skills in the following: Proven experience as an AWS Data SME or AWS Data Engineer , working extensively with AWS cloud services. Expertise in AWS Redshift, Glue, Lambda, Terraform, Kinesis, Athena, and EMR . Strong ETL/ELT development and data warehousing experience. Proficiency in Python, Java, or Scala for data processing and automation. In-depth knowledge of SQL … Apache Kafka, and Amazon RDS . Experience in data security, governance, and compliance best practices . Familiarity with CI/CD pipelines, DevOps methodologies, and monitoring/logging best practices . Strong problem-solving skills , with the ability to work in a collaborative and fast-paced environment . Preferred Qualifications: AWS Certified Data Analytics - Specialty or AWS Certified Solutions More ❯

development, infrastructure optimization, and deployment of scalable solutions for our programmatic advertising platform. What You'll Do Operate and evolve our big data stack on AWS (including MSK, EMR, Kinesis, Glue, and MWAA) Design, implement, and optimize ETL pipelines for large-scale data processing Collaborate with the Data Science team to prepare and manage datasets for model training and … activities: evaluating new tools, improving system performance, and ensuring scalability What We're Looking For Knowledge of AWS data services: MSK (Kafka: message broker), EMR (Spark/Flink), Glue, Kinesis, MWAA (Airflow) Basic understanding of cloud environments (preferably AWS) Basic experience with infrastructure-as-code tools (e.g., Terraform, AWS CDK, or CloudFormation) Strong interest in big data processing and More ❯

control with Git or SVN. Capable of presenting technical issues and successes to team members and Product Owners. Nice to Have Experience with any of these- Python, Spark, Kafka, Kinesis, Kinesis Analytics, BigQuery, Dataflow, BigTable, and SQL. Enthusiastic about learning and applying new technologies (growth mindset). Ability to build new solutions and support our data solutions/ More ❯

team members and Product Owners. Has experience of people management or desire to manage individuals on the team Nice to Have Experience with some of these- Python, Spark, Kafka, Kinesis, Kinesis Analytics, BigQuery, Dataflow, BigTable, and SQL. Enthusiastic about learning and applying new technologies (growth mindset). Ability to build new solutions and support our data solutions/ More ❯

gather requirements and build a roadmap. Develop and manage the engineering budget, ensuring cost-effectiveness and tracking expenditure. Utilize AWS, Terraform, CI/CD (GitHub Actions), Python, Java, Kafka, Kinesis, and Microservices. If you are interested, please get in touch. #J-18808-Ljbffr More ❯

as a Database Designer & Senior Data Engineer, with hands-on experience in cloud based data services. Proficiency in SQL, Python, or Scala. Experience with AWS RDS, AWS Glue, AWS Kinesis, AWS S3, Redis and/or Azure SQL Database, Azure Data Lake Storage, Azure Data Factory. Knowledge of data modelling, ETL processes, and data warehousing principles. Preferred Skills Strong More ❯

complex and large-scale project management experience 5+ years of continuous integration and continuous delivery (CI/CD) experience 5+ years of database (e.g., SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience 5+ years of software development with object-oriented language experience 3+ years of cloud-based solution (AWS or equivalent), system, network, and operating system experience Bachelor's degree More ❯

systems Strong understanding of data modeling, ETL processes, and database design Demonstrated ability to architect solutions for big data challenges Preferred Qualifications Experience with real-time data processing (Kafka, Kinesis, Flink) Knowledge of containerization and infrastructure-as-code (Docker, Kubernetes, Terraform) Familiarity with MLOps practices and tools (MLflow, Kubeflow, etc.) Experience with data governance frameworks and data cataloging Understanding More ❯