26 to 50 of 76 Permanent Amazon Kinesis Jobs

and verbal skills, able to translate concepts into easily understood diagrams and visuals for both technical and non-technical people alike. AWS cloud products (Lambda functions, Redshift, S3, AmazonMQ, Kinesis, EMR, RDS (Postgres . Apache Airflow for orchestration. DBT for data transformations. Machine Learning for product insights and recommendations. Experience with microservices using technologies like Docker for local development. More ❯

High volume NoSQL and SQL databases such as; Dynamo DB, Postgres Terraform built environments Experience working with data and infrastructure at scale Event driven architecture such as Kafka/Kinesis Our standards around security, quality, and service availability can only be the highest, but at the same time we foster psychological safety, as we are comfortable with the unknowns More ❯

career development opportunities Ability to evangelize next-generation infrastructure in analytics space (batch, near real-time, real-time technologies), using both SAS components and AWS tooling (e.g., Redshift, SQS, Kinesis) Strong familiarity with spatial-temporal data sets, with exposure to maritime data preferred Experienced in evaluating, training, and communicating the performance of ML models (e.g., supervised models, such as More ❯

platforms (AWS, GCP, or Azure) • Experience with: o Data warehousing and lake architectures o ETL/ELT pipeline development o SQL and NoSQL databases o Distributed computing frameworks (Spark, Kinesis etc) o Software development best practices including CI/CD, TDD and version control. o Containerisation tools like Docker or Kubernetes o Experience with Infrastructure as Code tools (e.g. More ❯

with Data Science to deploy ML workloads in streaming systems Influence architecture and own key infrastructure components Key Skills: Five years with TypeScript and AWS Strong experience with Lambda, Kinesis, EventBridge, and CDK v2 Strong attention to detail and ability to work independently Python experience Familiarity with JIRA and Confluence Hybrid – 2 days a week in Central London More ❯

with cross-functional teams to deliver scalable solutions Mentoring junior engineers and contributing to a strong engineering culture Working with a modern, cloud-native stack Cloud: AWS (Lambda, S3, Kinesis, RDS, Step Functions, AppFlow) Monitoring: Graphite, Grafana, Splunk Bonus: Experience in marketing tech or AI What We're Looking For Strong full stack engineering experience Comfortable working without front More ❯

mean you can move into a technical leadership role as quickly as possible propelling product roadmap and R&D pipeline forward. Skills Typescript expert with AWS including AWS Lambda, Kinesis and EventBridge. AWS CDK2 Python knowledge Confluence and JIRA Role The Senior Backend Software Engineer will join an existing software team reporting to the Chief Technology Officer. Working on More ❯

mean you can move into a technical leadership role as quickly as possible propelling product roadmap and R&D pipeline forward. Skills Typescript expert with AWS including AWS Lambda, Kinesis and EventBridge. AWS CDK2 Python knowledge Confluence and JIRA Role The Senior Backend Software Engineer will join an existing software team reporting to the Chief Technology Officer. Working on More ❯

event structures, attribution, retention, LTV , and other mobile metrics . Ability to collect and aggregate user data from mobile sources for analytics. Experience building real-time data pipelines (e.g., Kinesis, Kafka, Spark Streaming ). Hands-on CI/CD experience with GitHub . Startup or small team experience - the ability to quickly switch between tasks , suggest lean architectural solutions More ❯

balancing technical excellence with business priorities and constraints Nice to have Experience building Data Mesh or Data Lake architectures. Familiarity with Kubernetes, Docker, and real-time streaming (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 go further here, reaching More ❯

AWS Data Engineer London, UK Permanent Strong experience in Python, PySpark, AWS S3, AWS Glue, Databricks, Amazon Redshift, DynamoDB, CI/CD and Terraform. Total 7 + years of experience in Data engineering is required. Design, develop, and optimize ETL pipelines using AWS Glue, Amazon EMR and Kinesis for real-time and batch data processing. Implement data … transformation, streaming, and storage solutions on AWS, ensuring scalability and performance. Collaborate with cross-functional teams to integrate and manage data workflows. Skill-set Amazon Redshift, S3, AWS Glue, Amazon EMR, Kinesis Analytics Ensure data security, compliance, and best practices in cloud data engineering Experience with programming languages such as Python, Java, or Scala. More ❯

Extensive experience with cloud platforms (AWS, GCP, or Azure) Experience with: Data warehousing and lake architectures ETL/ELT pipeline development SQL and NoSQL databases Distributed computing frameworks (Spark, Kinesis etc) Software development best practices including CI/CD, TDD and version control. Strong understanding of data modelling and system architecture Excellent problem-solving and analytical skills Whilst having More ❯

implementing API service architecture Experience in working with a relational database Experience provisioning infrastructure with Terraform and Cloud Formation Understanding of messaging systems like MQ, Rabbit MQ, Kafka, or Kinesis Effective communication and collaboration skills to be able to partner with business stakeholders and other technical teams AWS and Java Certifications External applicants will be required to perform a More ❯

may be a fit if you have: Expertise in Cloud-Native Data Engineering: 3+ years building and running data pipelines in AWS or Azure, including managed data services (e.g., Kinesis, EMR/Databricks, Redshift, Glue, Azure Data Lake). Programming Mastery: Advanced skills in Python or another major language; writing clean, testable, production-grade ETL code at scale. Modern More ❯

may be a fit if you have: Expertise in Cloud-Native Data Engineering: 3+ years building and running data pipelines in AWS or Azure, including managed data services (e.g., Kinesis, EMR/Databricks, Redshift, Glue, Azure Data Lake). Programming Mastery: Advanced skills in Python or another major language; writing clean, testable, production-grade ETL code at scale. Modern More ❯

assets Strong architectural acumen and software engineering fundamentals Experience driving adoption of data governance and improving data platform usage across internal teams stack including: Snowflake AWS DBT Airflow Python Kinesis Terraform CI/CD tools BENEFITS The successful Principal Data Engineer will receive the following benefits: Salary up to £107,000 Hybrid working: 2 days per week in the More ❯

data engineering professional with a proven ability to lead and inspire teams. You bring deep technical skills in Python, SQL, and AWS services such as EC2, Redshift, Lambda and Kinesis, alongside strong stakeholder management and commercial awareness. You'll also bring: Proven experience designing and implementing data pipelines, ETL processes, and warehousing in cloud environments. The ability to manage 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 ❯

Knowledge of orchestration tooling (e.g., Airflow, Dagster, Azure Data Factory, Fivetran) Desirable: - Experience deploying AI/ML models in production environments - Familiarity with AWS data services (e.g., S3, Glue, Kinesis, Athena) - Exposure to real-time data streaming and analytics paradigms #LI-RJ1 Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted in ownership More ❯

the Data Platform by designing and building the next generation of the stack. Develop, run and support our batch and real-time data pipelines using tools like Airflow, PlanetScale, Kinesis, Snowflake, Tableau, all in AWS. Collaborate with product managers, data engineers, analysts and data scientists to develop tooling and infrastructure to support their needs. Develop automation and tooling to More ❯

CI/CD pipelines with tools like Jenkins or CircleCI Knowledge of data security protocols and distributed system design Bonus Points For Experience with messaging systems (Kafka, Spark Streaming, Kinesis) Familiarity with schema design and semi-structured data formats Exposure to containerisation, graph databases, or machine learning concepts Proficiency with cloud-native data tools (BigQuery, Redshift, Snowflake) Enthusiasm for More ❯

processes that help us achieve our objectives. So each team leverages the technology that fits their needs best. You'll see us working with data processing/streaming like Kinesis, Spark and Flink; application technologies like PostgreSQL, Redis & DynamoDB; and breaking things using in-house chaos principles and tools such as Gatling to drive load all deployed and hosted … experience: including REST and GraphQL . Monitoring and optimising applications written for the JVM . Relational and NoSQL databases, particularly PostgreSQL, Aurora, & DynamoDB with experience modelling & optimising query performance. Kinesis or any other streaming data. Understanding of statistical analysis of data. Experience with or an interest in " DevOps " tooling & infrastructure as code. A strong understanding of continuous integration and More ❯

Senior Cloud Architect, Global Accounts, AWSI Professional Services Job ID: Amazon Web Services Australia Pty Ltd Would you like a career that gives you opportunities to help the largest Global customers and partners innovate and transform on Amazon Web Services? Are you a strategic thinker with hands-on technical skills that can influence stakeholders to set a bold … DevOps transformations. Key job responsibilities Expertise: Collaborate with AWS field business development, marketing, training and support teams to help partners and customers learn and use AWS services such as Amazon Elastic Compute Cloud (EC2), Amazon Elastic Kubernetes Service (EKS), Amazon Simple Storage Service (S3), Amazon RDS databases, AWS Identity and Access Management (IAM), etc. Solutions: Define … candidates to apply. If your 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's why customers from the most More ❯

solving skills, attention to detail, and an ability to balance short-term fixes with long-term scalable solutions. Nice to Have Experience with real-time or streaming data (Kafka, Kinesis). Familiarity with financial transaction data or payment processing systems. Exposure to data privacy regulations (e.g., GDPR, PCI-DSS) and data security best practices This role offers a More ❯

on time Collaborative mindset with experience working in cross-functional teams Bonus Points Experience with machine learning workflows and MLOps practices Knowledge of real-time streaming data processing (Kafka, Kinesis) Background in consulting or client-facing technical roles Contributions to open-source analytics or data engineering projects What Success Looks Like in Your First Year Technical Impact: Successfully lead More ❯