51 to 75 of 81 Amazon Kinesis Jobs in England

management and proactive problem‐solving skills. Experience designing and implementing batch and stream data processing systems. Experience with Datadog, SQL, Terraform, Docker, AWS (ECS, Kinesis, SQS, CloudWatch), GCP (BigQuery). Knowledge of Airflow, Kafka, Flink, dbt, Kubernetes is highly beneficial. Good understanding of AI platforms, experience building infrastructure ...

autonomy while staying deeply embedded in collaborative engineering culture. Tech Stack: Java 21 (Spring Boot 3), Python, LangGraph, LLM APIs (OpenAI, Anthropic, Gemini), PostgreSQL, Kinesis, AWS, Terraform, GitHub Actions, Node.js, TypeScript, Next.js, React. What you will do Take ownership of complex backend systems from design through production — including architecture ...

that meet the requirements of the UK Gambling Commission and international licensing bodies Working with AWS services including S3, Glue, Lambda, Athena, Redshift, RDS, Kinesis, MSK, Lake Formation, Step Functions, and MWAA – selecting the right tool for each problem rather than defaulting to a stack Practice and people Mentoring … across the full data engineering stack – from ingestion and streaming through to warehousing, serving, and cost optimisation You have deep experience with streaming architectures – Kinesis, Kafka/MSK, Flink, or Spark Streaming – and know when each is the right choice You can model the cost implications of architecture decisions ...

that meet the requirements of the UK Gambling Commission and international licensing bodies Working with AWS services including S3, Glue, Lambda, Athena, Redshift, RDS, Kinesis, MSK, Lake Formation, Step Functions, and MWAA – selecting the right tool for each problem rather than defaulting to a stack Practice and people Mentoring … across the full data engineering stack – from ingestion and streaming through to warehousing, serving, and cost optimisation You have deep experience with streaming architectures – Kinesis, Kafka/MSK, Flink, or Spark Streaming – and know when each is the right choice You can model the cost implications of architecture decisions ...

closely with engineers across the platform. Essential Skills & Experience Strong commercial experience with Node.js and TypeScript Experience building APIs and microservices Experience with Kafka, Kinesis, or similar streaming technologies Strong understanding of event-driven architectures Hands-on AWS experience Experience with SQL and/or NoSQL databases Familiarity with ...

role.Key Skills:Azure StackELT ExperienceData ModelingData Integration & IngestionData Manipulation and ProcessingGitHub, GitHub Actions, Azure DevOpsData Factory, Databricks, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, SonarQube, PyTestKey CharacteristicsTechnology expert who constantly pursues knowledge enhancement and has an inherent curiosity to understand work from multiple dimensions.Deep data focus with ...

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 ...

text, please click on the "Apply Now" link. Requirements Java Java Springboot JEST (good to have) TypeScript (good to have) AWS services knowledge (Lambda, Kinesis Stream, SQS, Eventbridge) BDD framework cucumber (good to have) CI... 108 E 16th Street, New York, NY 10003 Subscribe to our newsletter Join over ...

text, please click on the "Apply Now" link. Requirements Java Java Springboot JEST (good to have) TypeScript (good to have) AWS services knowledge (Lambda, Kinesis Stream, SQS, Eventbridge) BDD framework cucumber (good to have) CI... 108 E 16th Street, New York, NY 10003 Subscribe to our newsletter Join over ...

scripting/programming language (Python, Go, or similar) for building security automation and tooling. Experience with detection engineering, creating and managing data streams (Cribl, Kinesis) and SIEM tooling (Splunk, QRadar, Sentinel, ArcSight) , or building alerting/observability for security events from across an enterprise. Experience setting up segregated ...

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 ...

collaborate with cross-functional teams to deliver scalable microservices. The role emphasizes experience with Java/Scala/Kotlin, distributed systems, and AWS/Kinesis, with opportunities to work on AI-enabled solutions and fast-moving, data-driven projects. #J-18808-Ljbffr ...

engineering experience, focusing on backend systems for large‐scale data storage, streaming, and warehousing. Experience with database technologies (MongoDB, Postgres), streaming/processing solutions (Kinesis, Flink, Spark), indexing/caching (ElasticSearch, Redis), and query engines (Trino, Presto, Snowflake). Track record of mentoring and leading teams in successful projects. ...

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 ...

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 ...

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 ...

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 ...

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 … reference architectures. Key job responsibilities Architect 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 ...

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 ...

open to these locations: London, GBR | Luxembourg, LUX | Paris, FRA | Spain, SPA | Italy, ITA | Germany, GERThe EU Amazon Vendor Services (AVS) and Retail Vendor Experience (VX) Program teams are seeking a Data Engineer to design and implement scalable data solutions and pipelines that can meaningfully contribute to both programs. … This role is pivotal in addressing major challenges that enhance vendor success, satisfaction, and growth on Amazon, contributing directly to our long-term strategy.Amazon’s mission is to be Earth’s most customer-centric company, where customers can discover anything they want to buy online at competitive prices, with ...

networking.Evaluate vendor solutions, generate recommendations, and deliver internal training to clients.Requirements:Bachelor’s degree in a STEM field5+ years of experience working with Amazon Web Services (AWS), including exposure to other cloud vendorsIn-depth understanding of AWS’s suite of tools and services for data management and pipelining, including … Kinesis, Glue, Redshift, and Data Pipeline.Proficiency in infrastructure-as-code tools such as Terraform, CloudFormation, and related technologies.Strong knowledge of Kubernetes.Proficiency in at least one back-end programming language, such as Python or Go.Expertise in constructing highly available and fault-tolerant big data environments in the cloud, utilizing NoSQL ...

Amazon Web Services (AWS) is looking for experienced and motivated business-oriented technologists who possess a unique balance of business knowledge, effective interpersonal skills, and some technological depth in the following areas: analytics/big data, machine learning and generative artificial intelligence. This role will focus on supporting customers … experience in a professional field or military- Experience as technical specialist in design and architecture- Experience in database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis)- Experience in consulting, design and implementation of serverless distributed solutions- Experience in cloud based solution (AWS or equivalent), system, network and operating system- Experience ...

least 2 years in a customer-facing, embedded, or solutions engineering capacityStrong hands-on experience with streaming and event-driven architectures — Kafka, Flink, Kinesis, Spark Streaming, or equivalent (DynamoDB and MemoryDB/Redis)AWS Cloud Fluency - understand how to design scalable end-to-end architectures and pipelines on large … volumes of data (think Kafka/Flink for streaming + AWS Lambda + Kinesis)Solid data engineering fundamentals: pipeline design, SQL, Python, schema modeling, data qualityExperience building or integrating with CDP, marketing automation, or behavioral data-management platformsProven ability to go from ambiguous problem to working system ...

infrastructure supporting the Databricks platform, including networking, security, storage, and identity architecture Define integration patterns with internal systems and AWS services including S3, Glue, Kinesis, EventBridge, and related data services Establish infrastructure-as-code standards using Terraform or equivalent tooling Collaborate with DevOps and Cloud Engineering teams to implement … Workflows, and cluster management Strong experience designing cloud-native data platforms on AWS Hands‐on knowledge of AWS services including S3, IAM, VPC, Glue, Kinesis, EventBridge, and CloudWatch Strong understanding of medallion architecture, large‐scale data lake implementations, and data engineering patterns Experience with Infrastructure-as-Code tools such ...