26 to 50 of 60 Permanent Amazon Kinesis Jobs

Lake, Unity Catalog, and streaming technologies.Broad cloud expertise across Azure (Synapse, ADF, Event Hub, ADLS Gen2, Purview, Key Vault) and AWS (S3, Glue, EMR, Kinesis, Athena, Lake Formation, IAM), with strong multi-cloud experience.Strong understanding of modern engineering practices, including CI/CD for data platforms, automated deployment pipelines ...

Connect, with preference for experience building or maintaining production-grade streaming connectors.Hands-on experience with Apache Kafka or similar distributed messaging systems (e.g., Pulsar, Kinesis), including topic design, consumer groups, and performance tuning.Strong understanding of database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases.A ...

unstructured data) Proficiency with Parquet/Delta Lake or other modern data storage formats Experience with streaming architectures using Kafka, Event Hubs, or Kinesis for real-time data processing Knowledge of data architectures supporting AI/ML workloads, including vector databases, feature stores and MLOps pipelines Experience processing ...

Kotlin Infrastructure: Kubernetes, Terraform, infrastructure-as-code Frontend: TypeScript, React, GraphQL, Apollo Cloud (AWS): Lambda, ECS, CloudFront, API Gateway, DynamoDB, Aurora, S3, SQS, SNS, Kinesis ...

unstructured data) Proficiency with Parquet/Delta Lake or other modern data storage formats Experience with streaming architectures using Kafka, Event Hubs, or Kinesis for real-time data processing Knowledge of data architectures supporting AI/ML workloads, including vector databases, feature stores and MLOps pipelines Experience processing ...

prompt-injection, content filtering). Domain-Specific AI for AEC: BIM/IFC extraction, CAD or point-cloud processing. Event-Driven Architectures: Kafka or Kinesis; schema registries (Confluent, AWS Glue); exactly-once processing. AEC Domain Knowledge: Experience in the Architecture, Engineering, and Construction industry; familiarity with industry standards ...

enterprise-scale implementations of cloud-native data platforms such as Databricks and SnowflakeGood understanding of AWS data analytics services, including Redshift, EMR, Glue, Athena, Kinesis, Lake Formation, MSK, and S3 data lake patterns, with demonstrated experience architecting end-to-end data solutionsExperience navigating complex data governance, security, and compliance ...

end.Technical Proficiency: Strong experience with Python for building backend services and data pipelines. Familiarity with AWS services (e.g. S3, RDS/Postgres, Kinesis, ECS, Lambda) and infrastructure tooling (Terraform).Data Ingestion: Experience designing pipelines that handle varied, schema-evolving, high-volume payloads reliably and at scale — including robust error ...

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 and services. We offer talented security professionals the chance to accelerate their careers with opportunities … stores.The 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 ...

management. Experience in developing data analytics and AI-driven solutions. Skilled in designing and automating data quality metrics and KPIs. Proficient with AWS (S3, Kinesis, Glue, Redshift, Lambda, EMR) and/or Azure (ADF, Synapse, Fabric, Functions). To be Considered.... Please either apply by clicking online or emailing ...

design & distributed processing through technologies such as Apache Spark or Databricks/Snowflake is a huge plusKnowledge on messaging technologies like Kafka/AWS Kinesis or similar is a plusOur Values Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes.Build Together - Collaborate to unlock ...

Java, Spring Boot, Spring, GraphQL, and GraphQL Federation. Integrate with databases, web services, or AWS services (Neo4j, DynamoDB, RDS, S3, Parameter Store, SQS, SNS, Kinesis) to support ingestion, storage, and messaging pipelines. Champion clean code, SOLID principles, and engineering best practices, setting standards and mentoring engineers. Collaborate with product ...

experience of build tools – Maven and Gradle Knowledge and experience of relational DBMS – Postgresdb Knowledge of using AWS services via Terraform - Secrets Manager, Kinesis Firehose, S3, Open Search etc Knowledge and experience of configuring and using New Relic, Kibana for observing metrics and configuring alerts. Knowledge and experience ...

technical reviews, maintain high coding standards, and thrive in Agile, collaborative team environments.Experience designing and operating distributed, event-driven systems using Kafka Streams, AWS Kinesis, or similar frameworks.Proven ability to optimize microservices for low-latency, high-throughput processing at significant scale.Preferred Qualifications:Familiarity with AWS cloud infrastructure, auto-scaling ...

design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB), GraphQL and modern data warehouse tools including Snowflake and DataBricksAbility to think strategically and relate architectural decisions ...

design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB), GraphQL and modern data warehouse tools including Snowflake and DataBricksAbility to think strategically and relate architectural decisions ...

energetic and dynamic environmentCompetent and comfortable working with Typescript, Serverless technologiesYou should have extensive experience working with AWS (API Gateway, Lambda, Dynamo, DB, SQS, Kinesis, S3, ELK + More)Great experience in implementing best practices like TDD, SOLID and clean codeExperience in developing REST-APIs, Microservices, relational databases ...

detail and problem-solving skills.Desirable Skills:Real-time systems/telemetry dashboards;IoT platforms;Robotics or autonomous system integration;Geospatial/mapping tools.Data streaming (Kinesis, Kafka)What we OfferWork life balance promoted with every other Friday off;30 days annual leave;Competitive rate of pay, reviewed annually;Enhanced Company ...

processing pipelines with a focus on data integrityExperience with multiple data storage technologies (MySQL, Hadoop, Cassandra)Experience with AWS (DynamoDB, RDS, Step functions, EC2, Kinesis) is a plus.Experience with unit, integration, and end-to-end testing paradigmsExperience with defining and upholding SLOs/KPIs and participating in architecture reviews ...

pipelines with a focus on data integrity Experience with multiple data storage technologies (MySQL, Hadoop, Cassandra) Experience with AWS (DynamoDB, RDS, Step functions, EC2, Kinesis) is a plus. Experience with unit, integration, and end-to-end testing paradigms Experience with defining and upholding SLOs/KPIs and participating ...

working prototypes for novel applications of GenAI in security operations, with a path to production deployment- Build security-focused applications leveraging AWS GenAI services (Amazon Bedrock, Amazon GuardDuty, Amazon Security Lake, and others) that solve real customer problems- Partner with internal builders and external partners to identify … hardening the security architecture of a GenAI application mid-build. By mid-morning, you're writing and testing security controls for a customer's Amazon Bedrock deployment, collaborating directly with a partner engineer on implementation. After lunch, you're in a rapid architecture review for a new engagement, identifying ...

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 …/or Storage- PhD in computer science, machine learning, engineering, or related fields, or experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2- Knowledge of general AI tools- Knowledge of data engineering pipelines, cloud solutions, ETL management, databases, visualizations and analytical platforms- Experience with data ...

serve large datasets. Work extensively with S3 (Hive-partitioned Parquet data lake), Athena for SQL querying and analysis, DynamoDB for low-latency caching, and Kinesis/SQS for streaming and queue-based integration — including customer-facing "bring your own stream" pipelines.Develop robust RESTful APIs and services (FastAPI) that expose … Engineer on large, production software applications.Strong Python engineering skills, including dependency and environment management with Poetry.Hands-on experience with AWS, particularly S3, Athena, DynamoDB, Kinesis, SQS, ECS, and CloudWatch.Experience building RESTful APIs and services with FastAPI.Hands-on experience with Infrastructure as code with Terraform.Containerisation with Docker.Data-engineering fundamentals: working ...

systems, specifically related to building large-scale data storage, streaming, and warehousing systems.Experience in various database technologies (MongoDB, Postgres), streaming/processing solutions (Kinesis, Flink, Spark), indexing/caching (ElasticSearch, Redis), and various data query engines (Trino, Presto, Snowflake, etc.).Show a track record of mentoring and leading teams ...

from data lakes and lakehouses to real-time streaming pipelines, business intelligence, and advanced analytics leveraging the breadth of AWS's analytics portfolio including Amazon Redshift, Athena, EMR, Glue, Kinesis, QuickSight, and OpenSearch.You'll serve as a trusted technical advisor to enterprise customers navigating complex analytics modernisation challenges … workshops, and reference architectures.Key job responsibilitiesArchitect analytics solutions — design data lake, lakehouse, warehouse, and streaming architectures using AWS analytics services (Redshift, Athena, EMR, Glue, Kinesis, QuickSight, OpenSearch)Lead analytics modernisation — guide customers migrating from legacy platforms (Teradata, Oracle, Netezza, Hadoop) to cloud-native analytics, including ETL refactoring and performance ...