8 of 8 Remote/Hybrid Amazon Kinesis Jobs in England

data pipelines using Java (primary) and technologies like Kafka, Flink, or Spark Developing real-time streaming solutions and event-driven architectures using AWS services (Kinesis, MSK, Lambda, Glue) Contributing to data architecture, modelling, and best practices across modern data platforms Deploying and maintaining solutions using CI/ ...

warehouse and data lake design/building and data movement. AWS data and analytics services (or open-source equivalent) such as EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB. What you can expect ð Work to agile best practices and cross-functionally with multiple teams and stakeholders. You’ll be using ...

MongoDB/DocumentDB, MySQL) and analytical/data warehouse systems (Redshift) Experience building and scaling data pipelines (batch and streaming) using tools such as Kinesis, SQS/SNS, and Lambda Strong understanding of search and retrieval systems (Elasticsearch) and how data modelling choices affect downstream relevance and ranking Deep ...

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 ...

. 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 ...

health.Excellent time 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 the infrastructure ...

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 ...