1 to 25 of 37 Permanent Amazon Kinesis Jobs

technical stakeholders. Nice to have Background in commodities, energy trading, power/gas or renewables markets. Experience with streaming and real‐time data (Kafka, Kinesis or similar). Familiarity with infrastructure‐as‐code (CloudFormation, CDK, Terraform) and observability tooling (Grafana, Prometheus, CloudWatch). What’s on offer Competitive base ...

effective data solutions that meet complex business needs and support informed decision-making. Experience Required: Strong AWS expertise, including tools such as Glue, Lambda, Kinesis, EMR, Athena, DynamoDB, CloudWatch, SNS and Step Functions. Skilled in modern programming, particularly Python, Java, Scala and PySpark. Solid knowledge of data storage ...

designing and deploying production-grade pipelines (Python, Scala, Java, Spark, SQL). Strong experience working with AWS cloud data technologies (e.g., Glue, EMR, Redshift, Kinesis, Lambda, DynamoDB). Commercial experience ingesting, processing and curating structured and unstructured datasets. Experience with API ingestion, data modelling and optimisation for analytics. Familiarity ...

workflows, code reviews, and CI/CD practices. Preferred Qualifications: Experience with Azure cloud services. Exposure to streaming or event-driven architectures (e.g., Kafka, Kinesis). Experience with infrastructure as code (e.g., Terraform) and containerisation (e.g., Docker, Kubernetes). Understanding of data governance, lineage, cataloguing, and security best practices. ...

workflows, code reviews, and CI/CD practices. Preferred Qualifications: Experience with Azure cloud services. Exposure to streaming or event-driven architectures (e.g., Kafka, Kinesis). Experience with infrastructure as code (e.g., Terraform) and containerisation (e.g., Docker, Kubernetes). Understanding of data governance, lineage, cataloguing, and security best practices. ...

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 ...

data governance, quality, lineage, and security practices. Experience with real-time/streaming data technologies, data Ingestion/ETL (e.g., Apache Kafka, Apache NiFi, Kinesis, Pub/Sub). Strong proficiency in relational and non-relational databases (e.g., PostgreSQL, MongoDB, Cassandra). Deep knowledge of data transformation ...

ensure solutions are buildable and operable Required Skills & Experience Core Technical Strong AWS architecture experience (VPC, IAM, EC2, S3, RDS, DynamoDB, Lambda, EKS, Glue, Kinesis or equivalents) API and integration design experience Strong background in DevOps and automation Solid understanding of data migration and data platform design Experience designing ...

data governance, quality, lineage, and security practices. Experience with real-time/streaming data technologies, data Ingestion/ETL (e.g., Apache Kafka, Apache NiFi, Kinesis, Pub/Sub). Experience in, or knowledge of, DevSecOps Tooling and Processes. Self-starter with the ability to appropriately prioritise and plan complex ...

Drive continuous improvement across data platform capabilities Contribute to solution design, estimation, and delivery planning Required Experience Strong production Java experience Experience with Kafka, Kinesis, or similar streaming technologies Hands-on experience with Spark, Flink, Kafka Streams, or similar Experience with Spring Boot and/or Python Strong experience ...

multiple sources using APIs, scripting and cloud-native tooling Design and build robust AWS cloud data platforms using services such as EMR, Glue, Redshift, Kinesis, Lambda and DynamoDB Collaborate cross-functionally with product, design and engineering teams in agile delivery environments Participate in live whiteboarding sessions and technical problem ...

multiple sources using APIs, scripting and cloud-native tooling Design and build robust AWS cloud data platforms using services such as EMR, Glue, Redshift, Kinesis, Lambda and DynamoDB Collaborate cross-functionally with product, design and engineering teams in agile delivery environments Participate in live whiteboarding sessions and technical problem ...

multiple sources using APIs, scripting and cloud-native tooling Design and build robust AWS cloud data platforms using services such as EMR, Glue, Redshift, Kinesis, Lambda and DynamoDB Collaborate cross-functionally with product, design and engineering teams in agile delivery environments Participate in live whiteboarding sessions and technical problem ...

work closely with technical and business teams to deliver impactful solutions. Nice-to-Haves: Orchestration tools (Airflow, dbt, Prefect) or streaming frameworks (Kafka, Kinesis). CI/CD experience and DevOps practices for data workflows. Exposure to data visualisation platforms (PowerBI, Tableau, MicroStrategy). Experience in financial services ...

ensure solutions are buildable and operable Required Skills & Experience Core Technical Strong AWS architecture experience (VPC, IAM, EC2, S3, RDS, DynamoDB, Lambda, EKS, Glue, Kinesis or equivalents) API and integration design experience Strong background in DevOps and automation Solid understanding of data migration and data platform design Experience designing ...

ensure solutions are buildable and operable Required Skills & Experience Core Technical Strong AWS architecture experience (VPC, IAM, EC2, S3, RDS, DynamoDB, Lambda, EKS, Glue, Kinesis or equivalents) API and integration design experience Strong background in DevOps and automation Solid understanding of data migration and data platform design Experience designing ...

Drive continuous improvement across data platform capabilities Contribute to solution design, estimation, and delivery planning Required Experience Strong production Java experience Experience with Kafka, Kinesis, or similar streaming technologies Hands-on experience with Spark, Flink, Kafka Streams, or similar Experience with Spring Boot and/or Python Strong experience ...

MLflow or integrating with cloud ML services. Experience in BFSI, Retail, Telecom, or Healthcare data environments. Experience with real-time data processing (Kafka, EventHub, Kinesis). Soft Skills Excellent communication and stakeholder management skills. Strong problem-solving and solution-oriented mindset. Ability to lead in a fast-paced ...

helpful but not required) Nice to have: DuckDB experience Time-series experience (market data, telemetry, pricing, events) Streaming exposure (Kafka/Event Hubs/Kinesis) Experience with Temporal (or similar orchestrators like Airflow/Dagster/Prefect) Any exposure to AI agents/automation tooling 👉 Apply ...

billions of data points YOUR SKILLS AND EXPERIENCE You will bring strong capability in: Python and SQL AWS data infrastructure (S3, Redshift, Glue, Athena, Kinesis, Lambda) End-to-end ownership, from proof-of-concept through to production THE BENEFITS You will receive a salary ...

architecture. Desirable Containerisation and orchestration (Docker, Kubernetes). Observability tooling (OpenTelemetry, Grafana, Prometheus, Azure Monitor, CloudWatch). Experience with event streaming (Kafka, Event Hubs, Kinesis). ...

grade data pipelines using Python and SQL Hands on experience with AWS data services such as S3, Redshift, Glue, Athena, and streaming technologies like Kinesis Experience working with large scale, high velocity event data and understanding the trade offs around cost, performance, and reliability Ability to think beyond implementation ...

cloud environments. Strong understanding of SOC operations, detection workflows, and modern telemetry requirements. Skills: Deep hands-on experience with AWS (S3, IAM, Lambda, Kinesis, CloudWatch, Step Functions, Glue, Athena, Glacier). Expertise with SIEM ingestion pipelines, ideally Google SecOps (Chronicle) with S3 ingestion. Strong understanding of log structures (JSON ...

cloud environments. Strong understanding of SOC operations, detection workflows, and modern telemetry requirements. Skills: Deep hands-on experience with AWS (S3, IAM, Lambda, Kinesis, CloudWatch, Step Functions, Glue, Athena, Glacier). Expertise with SIEM ingestion pipelines, ideally Google SecOps (Chronicle) with S3 ingestion. Strong understanding of log structures (JSON ...

NoSQL databases. Secure development practices. Git-based source control. Knowledge of CI automation systems such as Jenkins Bonus points for: Event streaming (e.g. Kafka, Kinesis) and change data capture (CDC). Messaging (e.g. RabbitMQ, SQS). Docker and Kubernetes. Solution and architecture design. Test-driven development (TDD). ...