1 to 25 of 28 Remote/Hybrid Permanent Amazon Kinesis Jobs

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 ...

Experience handling health or patient data safely (GDPR, DSPT, data security). Experience with Git and version-controlled workflows. Experience with stream processing (e.g. Kinesis, Kafka). Familiarity with dbt for data transformation. Knowledge of containerised environments (e.g. Docker, ECS, or EKS). Able to structure data for self ...

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 ...

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 ...

support AWS Site-to-Site VPN solutions. Enhance, modernise and support existing AWS-hosted applications and services. Deploy and support containerised applications using Amazon ECS, Amazon EKS, Docker and Kubernetes. Develop and support serverless applications using AWS Lambda. Design and support API-driven integrations using Amazon API Gateway and AWS Step Functions. Implement event-driven architectures using Amazon EventBridge, SNS, SQS and Kinesis. Deploy, configure and support cloud-native AWS services and platforms. Support highly available, secure and resilient production environments. AWS Security & Monitoring You will work with AWS-native security and monitoring capabilities ...

other Proficiency in one or more programming languages: Python, Java, GO or other Experience with AWS or GCP and their products (S3, GCS, Kinesis, Pub/Sub, Lambda/Cloud functions, DataProc) Experience with one of the main databases for analytics (Redshift, BigQuery, Snowflake or other). Nice ...

working smarter. Nice to have: Experience building Data Mesh or Lakehouse architectures. Familiarity with Kubernetes, Docker, and real‐time streaming technologies (e.g. Kafka, Kinesis). Exposure to ML engineering pipelines or MLOps frameworks. What’s it like to work at Zego? Joining Zego is a career‐defining move. People ...

Data Engineer working with real-time and batch data in production environments Strong experience with streaming technologies such as Kafka, Pub/Sub or Kinesis Solid understanding of data warehousing principles including relational modelling, query optimisation and administration Strong programming experience with Python, Go and/or SQL Experience ...

Data Engineer working with real-time and batch data in production environments Strong experience with streaming technologies such as Kafka, Pub/Sub or Kinesis Solid understanding of data warehousing principles including relational modelling, query optimisation and administration Strong programming experience with Python, Go and/or SQL Experience ...

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 Work to agile best practices and cross-functionally with multiple teams and stakeholders. You’ll be using your ...

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 ...

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/ ...

Expert Python and SQL skills, with experience working with large datasets and distributed systems. Hands-on experience with AWS services, including Redshift, Lambda, EC2, Kinesis and Batch. Experience working with relational and NoSQL databases, alongside strong data modelling skills. A solid understanding of data governance, data quality and data ...

data analytics and software Proficiency in Python programming language and common data science packages. Experience with data engineering tools (e.g. Apache Spark, AWS Glue, Kinesis, Snowflake, Apache Airflow) Experience in building data pipelines and data streaming applications. Experience with tools to support the software and analytics development workflow (e.g. ...

end. Technical Proficiency: Strong experience with Python for building backend services and data pipelines. Familiarity with AWS services (e.g. S3, RDS/Postgres, Kinesis, ECS, Lambda) and infrastructure tooling (Terraform).Data Ingestion: Experience designing pipelines that handle varied, schema-evolving, high-volume payloads reliably and at scale — including robust ...

date with the latest industry technologies and standards Must have hands-on experience developing cloud-native applications using services like AWS S3, SQS, Kinesis, Graph DB, OpenSearch/Elasticsearch or equivalent services on other cloud platforms such as GCP Taking initiative, learning quickly, and adapting to shifting priorities, while ...

end. Technical Proficiency: Strong experience with Python for building backend services and data pipelines. Familiarity with AWS services (e.g. S3, RDS/Postgres, Kinesis, ECS, Lambda) and infrastructure tooling (Terraform). Data Ingestion: Experience designing pipelines that handle varied, schema-evolving, high-volume payloads reliably and at scale — including ...

user behavior. Utilise our extensive data infrastructure to uncover insights that drive the AI product roadmap forward. Tech Stack Includes: AWS: EC2, Athena, S3, Kinesis, Lambda, Step Functions, RDS, QuickSight Languages & Frameworks: Python, Spark, TensorFlow, LLMs & LLM coding tools Databases & Search: MySQL, PostgreSQL, SOLR Experience: Minimum 3 years ...

. 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 ...

React native, Java, Spring, typescript, microservice architecture, DynamoDB, lambdas, ECS containers and robust knowledge of AWS cloud infrastructure (API Gateway, AWS SAM, terraform, Kinesis/MSK/SQS/S3/EKS/ECS) Product focus: we want to build a quality product therefore as an engineering leader ...

trends, emerging data technologies, and innovative solutions - Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the team Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates … career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that ...

DevSecOps and CI/CD pipeline implementation experience. Strong AWS networking knowledge including: VPCs VPNs Route 53 Security Groups Load Balancing Experience with: Amazon ECS Amazon EKS Kubernetes Docker AWS Lambda Event-driven architecture experience using: EventBridge SNS SQS Kinesis AWS IAM and cloud security expertise. Monitoring ...

every time. Role Overview We run an event-driven data platform on AWS and Snowflake. Events flow from our product services through EventBridge, Kinesis Firehose, S3, and are auto-ingested into Snowflake via Snowpipe; batch and third-party data lands through Snowpark-deployed Python procedures. All infrastructure is defined … accurate, audit-ready data. Requirements We'd love it if you have AWS & Event-Driven Architecture: Hands-on experience with streaming/event ingestion (Kinesis, EventBridge or equivalents), S3 partitioning, and queue/DLQ patterns. Infrastructure as Code: Terraform experience required; Terragrunt a plus. Comfortable owning modules across environments ...

Shores, we're creating a world of work where potential matters more than experience. Our market-leading, task-based psychometric assessments help organisations like Amazon, Siemens and Jet2 make fair, evidence-based hiring decisions. We've doubled ARR year-on-year for the past three years and are looking … your path has been unconventional, we'd love to hear from you. Our Stack Infrastructure & DevOps AWS (EKS, Lambda, RDS/Postgres, DynamoDB, SQS, Kinesis, S3, Cognito, Route53, VPC, EC2) Terraform, Kubernetes, Helm, Ansible, Puppet GitLab CI Observability & Security Prometheus, Grafana, OpenSearch, CloudWatch Okta (SSO/IdP) Vulnerability management ...

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 ...