10 of 10 Amazon Kinesis Jobs in East London

development. Proven expertise in Java (Java 11+) and Spring-based microservice architectures. Hands-on experience with AWS cloud ecosystem, including key services such as Lambda, DynamoDB, ECS Fargate, CloudFormation, Kinesis, IAM, SQS, SNS, S3, API Gateway, and related tools. Strong command of containerization using Docker. Familiarity with modern build and test tools (e.g., Maven, JUnit, Cucumber, Jest). Experience More ❯

or gRPC Exposure to monitoring/logging tools (e.g., CloudWatch, ELK, Prometheus) Knowledge of security best practices in API and cloud development Familiarity with data streaming using Kafka or Kinesis More ❯

Vlocity, and external systems Machine Learning Models via Vertex AI (GCP) AWS Glue + Lambda + Step Functions : Batch ETL workflows Kafka (Confluent Cloud) : Real-time feature streams ingestion Kinesis Streams + Firehose : Traceability and telemetry routing Cloud Storage (S3, GCP buckets) : Configuration, logs, traceability data Envoy Proxy + ALB + WAF : TLS termination, authentication, traffic routing CloudWatch/ More ❯

Vlocity, and external systems Machine Learning Models via Vertex AI (GCP) AWS Glue + Lambda + Step Functions : Batch ETL workflows Kafka (Confluent Cloud) : Real-time feature streams ingestion Kinesis Streams + Firehose : Traceability and telemetry routing Cloud Storage (S3, GCP buckets) : Configuration, logs, traceability data Envoy Proxy + ALB + WAF : TLS termination, authentication, traffic routing CloudWatch/ 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 ❯

specifically in Big Data processing services (Apache Spark, Beam or equivalent). In-depth knowledge on key technologies like Big Query/Redshift/Synapse/Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF etc. Excellent consulting experience and ability to design and build solutions, actively contribute to RfP response. Ability to … and mentor the architects. Required Skills : Mandatory Skills [at least 2 Hyperscalers]: GCP, AWS, Azure, Big data, Apache spark, beam on BigQuery/Redshift/Synapse, Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF. Preferred Skills : Designing Databricks based solutions for Azure/AWS, Jenkins, Terraform, StackDriver or any other DevOps tools. More ❯

specifically in Big Data processing services (Apache Spark, Beam or equivalent). In-depth knowledge on key technologies like Big Query/Redshift/Synapse/Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF etc. Excellent consulting experience and ability to design and build solutions, actively contribute to RfP response. Ability to … to lead and mentor the architects. Mandatory Skills [at least 2 Hyperscalers] GCP, AWS, Azure, Big data, Apache spark, beam on BigQuery/Redshift/Synapse, Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF Desirable Skills: Designing Databricks based solutions for Azure/AWS, Jenkins, Terraform, StackDriver or any other DevOps tools More ❯

Data Modeling Data Integration & Ingestion Data Manipulation & Processing Version Control & DevOps: Skilled in GitHub, GitHub Actions, Azure DevOps Azure Data Factory, Databricks, SQL DB, Synapse, Stream Analytics Glue, Airflow, Kinesis, Redshift SonarQube, PyTest If you're ready to take on a new challenge and shape data engineering in a trading-first environment, submit your CV today to be considered. More ❯

and streaming jobs. Required Skills & Qualifications 3+ years of experience in data engineering or backend development. Strong programming skills in Python, Java, or Scala. Hands-on experience with Kafka, Kinesis, or similar messaging systems. Familiarity with stream processing frameworks like Flink, Kafka Streams, or Spark Structured Streaming. Solid understanding of event-driven design patterns (e.g., event sourcing, CQRS). More ❯

or Azure). Familiarity with version control, CI/CD , and Infrastructure-as-Code (Terraform or similar). Desirable: Background in fintech or payments. Knowledge of streaming frameworks (Kafka, Kinesis). Experience with dbt and data quality frameworks (e.g., Great Expectations ). What’s on Offer Competitive base salary + bonus Flexible hybrid working model (Liverpool Street office) Private More ❯