3 of 3 Contract Amazon Kinesis Jobs in England

ability to work both independently and collaboratively within multi-disciplinary teams Desirable Skills for the AWS Data Engineer: Experience with Databricks , Kafka , or Kinesis for real-time data streaming Knowledge of containerisation (Docker, ECS) and modern orchestration tools such as Airflow Familiarity with machine learning model deployment pipelines ...

Analytical Tools: EDA, Data Mining, Visualization (Plotly, Matplotlib, Seaborn) Statistical & Multivariate Analysis Big Data: Hadoop, MapReduce, HDFS, DataBricks, Spark, PySpark DataLake Architecture, AWS Redshift, Kinesis, EMR Machine Learning Supervised Models: Nave Bayes, Logistic Regression, SVM, Linear Regression, KNN, Tree-Based Models: Decision Trees, Random Forest, Gradient Boosted Trees, XGBoost ...

London. Job description: Role Title: Data Architect Minimum years of experience: >10 years Must-Have Skills - Streaming & EDA: Kafka (Confluent) and AWS MSK/Kinesis/Kinesis Firehose; outbox, ordering, replay, exactly/at-least-once semantics. EventBridge for event routing and filtering. - Schema management: Avro/Protobuf … + Schema Registry (compatibility, subject strategy, evolution). - AWS data stack: S3/Glue/Athena, Redshift, Step Functions, Lambda; Iceberg-ready lakehouse patterns. Kinesis's3 Glue streaming pipelines; Glue Streaming; DLQ patterns. - Payments & ISO 20022: PAIN/PACS/CAMT, life cycle modelling, reconciliation/advices; API/ ...