1 to 25 of 33 Amazon Kinesis Jobs in the UK excluding London

maintaining cloud-based platforms and infrastructure, with a focus on AWS. Hands on experience with AWS, including practical delivery across core services such as Amazon EC2, Amazon EKS, Amazon RDS, Amazon Redshift, Amazon S3, Amazon VPC, AWS Identity and Access Management (IAM), AWS Lambda … identity management in cloud environments, including AWS-specific best practices. Familiarity with monitoring, logging, and alerting tools (e.g., Prometheus, Grafana, the ELK stack, Amazon CloudWatch, and AWS X-Ray). Experience with version control systems (e.g., Git) and scripting languages (e.g., Python, Bash, Go). Ability to troubleshoot ...

Data Factory.* Azure Data Engineer Associate and Databricks Certified Data Engineer Professional**AWS*** Proficiency with AWS Tools: Demonstrable experience using AWS Glue, AWS Lambda, Amazon Kinesis, Amazon EMR , Amazon Athena, Amazon DynamoDB, Amazon Cloudwatch, Amazon SNS and AWS Step Functions.* Programming Skills: Strong ...

people with extensive commercial experience with AWS Glue, developing Glue Jobs using PySpark and Python, AWS Glue Data Catalog, Crawlers, Workflows and triggers, Amazon S3 data lake implementation and management, AWS IAM roles, policies and security best practice. You will also need experience with several of the following: Amazon Redshift, AWS Lambda, Amazon Athena, Amazon RDS, Amazon EMR, Amazon EventBridge, Amazon Kinesis, AWS Step Functions, Amazon SQS/SNS and AWS CloudWatch. These roles are outside IR35 and will require you to be onsite 3 days a week. All candidates must ...

including data pipelines, ETL/ELT processes, and data integration frameworks. Develop andoptimizedata architectures using AWS services such as S3, Glue, Lambda, Redshift, Kinesis, EMR, Amazon OpenSearch Service, and graph databases such as Amazon Neptune, and related technologies. Ensure solutions follow AWS best practices for security, performance … llbring Considerable experiencein data engineeringfocused on AWS data platforms and services. Strong hands-on experience withAWS data servicesincluding S3, Glue, Lambda, Redshift, Athena, EMR, Kinesis, Amazon OpenSearch Service, and graph databases such as Amazon Neptune, and related technologies. Proficiencyin programming languages such asPythonandSQL fordata processing and transformation. ...

source-code management. Strong troubleshooting and problem-solving skills. AWS Experience Candidates should have practical experience with relevant AWS data services, such as: Amazon S3 AWS Glue Amazon Redshift AWS Lambda Amazon Athena Amazon RDS AWS IAM Amazon CloudWatch Experience with services such as Kinesis, EMR, Step Functions or MWAA/Airflow would be advantageous. AWS data engineering roles commonly use services such as S3, Glue, Redshift, Lambda, Kinesis and IAM for data platforms and pipelines. Power BI Experience Power BI Desktop and Power BI Service. Dashboard and report development. Data modelling ...

translate business requirements into scalable technical solutions Desirable Experience AWS Data Services (Glue, EMR, Lambda, S3, Athena, Redshift) Streaming technologies such as Kafka or Kinesis Data modelling and metadata management AI/ML data pipelines and feature engineering Geospatial, sensor, operational or intelligence-related datasets Experience working within Defence ...

across: Batch data processing, ELT and orchestration. Modern streaming technologies such as Flink or comparable platforms. AWS data services, including S3, Lambda, Glue, Athena, Kinesis and RDS. Infrastructure as code using Terraform. CI/CD and automated testing. Lakehouse architecture and open table formats such as Iceberg. Medallion architecture ...

Develop and support real-time streaming pipelines and event-driven integrations. Integrate data from multiple sources (streaming, batch, APIs) using AWS managed services (e.g., Kinesis, MSK, Lambda, Glue). Data Architecture & Standards Contribute to data modelling, data architecture best practices, and modern patterns (e.g., medallion architecture). Ensure data ...

architectures. Experience with some of EKS, Lambda, EventBridge, Step Functions, S3, DynamoDB, AWS Glue, Snowflake, Terraform and Transfer Family. Knowledge of streaming technologies (Kafka, Kinesis) and API integrations, and hands-on experience with monitoring tools (e.g. Grafana) and observability practices. Proficient with Terraform or CDK (infrastructure-as-code). ...

warehousing, ELT and orchestration. Modern streaming technologies such as Flink or comparable platforms. Production AWS data engineering. AWS services including S3, Lambda, Glue, Athena, Kinesis, RDS, IAM and CloudWatch. Lakehouse architectures and open table formats such as Iceberg. Medallion-style data layering and dimensional modelling. Strong SQL and Python ...

data masking, row access policies, column-level security, Tri-Secret encryption, network policies, Horizon Catalog, access history, and data classification.Streaming and CDC patterns (Kafka, Kinesis, Snowpipe Streaming) and event-driven architectures for near real-time use cases.Data governance and metadata management (catalogs, lineage, MDM, data quality frameworks) with familiarity ...

principles including Zero Trust, identity-first security, secrets management, and network segmentation. Desirable Experience Experience with Cribl and security data pipeline management. Knowledge of Kinesis, Amazon S3, Amazon Security Lake, or similar technologies. Understanding of OCSF and security data normalisation. Experience working within government, defence, highly regulated ...

strong experience in Big Data technologies such as: Spark, Hadoop etc. Practical knowledge of building real-time event streaming pipelines (e.g., Kafka, Spark Streaming, Kinesis). Proficiency in AWS cloud environments. Proven experience developing modern data architectures including Data Lakehouse and Data Warehousing. A solid understanding of CI/ ...

partner status (competency badges, certified-headcount targets, co-sell with partner account teams) Streaming and event-driven architecture in production (Kafka/MSK, Kinesis, Structured Streaming) Data products, mesh or federated ownership models applied on a real programme, not just in theory ML and AI platform work: feature stores ...

Omniverse, OpenUSD, or Unreal Engine. Cloud platform expertise across AWS, Azure, or GCP.Geospatial technologies including PostGIS, GeoJSON, Cesium, or GIS platforms. Experience with Kafka, Kinesis, or Pub/Sub. Exposure to edge computing technologies such as NVIDIA Jetson. Knowledge of robotics, ROS, industrial protocols, OPC-UA, or Modbus. Experience ...

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 ...

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 ...

cloud platforms like AWS, GCP, and Azure, with a preference for AWS. Proficiency in real-time streaming applications using Apache Spark Streaming, Apache Kafka, Amazon Kinesis, and emerging cloud serverless managed services. #J-18808-Ljbffr ...

public cloud platforms like AWS, GCP, and Azure, with a preference for AWS.Proficiency in real-time streaming applications using Apache Spark Streaming, Apache Kafka, Amazon Kinesis, and emerging cloud serverless managed services.J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world ...

regulatory and compliance reporting pipelines where relevant to a client's sector Working with cloud data services (e.g. S3, Glue, Lambda, Athena, Redshift, RDS, Kinesis, MSK, Lake Formation, Step Functions, MWAA, or their equivalents on other platforms) — selecting the right tool for each problem rather than defaulting ...

regulatory and compliance reporting pipelines where relevant to a client's sector Working with cloud data services (e.g. S3, Glue, Lambda, Athena, Redshift, RDS, Kinesis, MSK, Lake Formation, Step Functions, MWAA, or their equivalents on other platforms) — selecting the right tool for each problem rather than defaulting ...

regulatory and compliance reporting pipelines where relevant to a client's sector Working with cloud data services (e.g. S3, Glue, Lambda, Athena, Redshift, RDS, Kinesis, MSK, Lake Formation, Step Functions, MWAA, or their equivalents on other platforms) — selecting the right tool for each problem rather than defaulting ...

data Have exposure to at least one cloud platform (AWS, Azure or GCP) and experience of associated technologies (for example with AWS: DynamoDB, Redshift, Kinesis Pipelines, Glue, Lambda, QuickSight, etc) Have experience with DataOps concepts Equal Opportunities Statement Diversity and inclusion are hugely important ...

data Have exposure to at least one cloud platform (AWS, Azure or GCP) and experience of associated technologies (for example with AWS: DynamoDB, Redshift, Kinesis Pipelines, Glue, Lambda, QuickSight, etc) Have experience with DataOps concepts AI Statement We champion tech that helps people work smarter, but we want ...

data Have exposure to at least one cloud platform (AWS, Azure or GCP) and experience of associated technologies (for example with AWS: DynamoDB, Redshift, Kinesis Pipelines, Glue, Lambda, QuickSight, etc) Have experience with DataOps concepts Why join AND Digital? We have three core values: wonder, share, and delight. These ...