76 to 100 of 102 Remote Amazon Kinesis Jobs

for our contact center operations. Configure and manage call flows, IVR systems, queues, and routing profiles. Develop and integrate Lambda functions to extend AWS Connect functionality. Create and maintain Amazon Lex chatbots for interactive voice and chat experiences. Optimize contact center operations for efficiency, performance, and customer satisfaction. Collaborate with stakeholders to identify requirements and design appropriate solutions. Provide 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 ❯

be successful in this role: Experience developing, testing, and deploying data pipelines, data lakes, data warehouses, and data marts using ideally AWS services such as S3, Glue, Athena, EMR, Kinesis, and Lambda Understanding of the principles behind designing and implementing data lake, lake house and/or data mesh architecture Problem solving skill with basic knowledge of the change More ❯

Job Description My client, based in the London area, is currently looking to recruit an experienced AWS Databricks Data Architect to join their team. They are a leader within the consulting space and are experiencing growth, backed by a large More ❯

in AWS Glue for ETL (Extract, Transform, Load) processes and data cataloging. Hands-on experience with AWS Lambda for serverless computing in data workflows. Knowledge of AWS Glue Crawler Kinesis RDS for batch/real-time data streaming Familiarity with AWS Redshift for large-scale data warehousing and analytics. Skillful in implementing data lakes using AWS Lake Formation for … solutions. Hands-on experience with AWS DMS (Database Migration Service) for seamless data migration between different databases. Knowledge of AWS Athena for interactive query processing on data stored in Amazon S3. Experience with AWS AppSync for building scalable and secure GraphQL APIs. Qualifications: A minimum of 10 years of experience in data engineering or a related field. Strong background More ❯

optimisation Solid understanding of data warehousing principles, data modelling practice Excellent knowledge of creation and maintenance of data pipelines - ETL Tools (e.g. Apache Airflow) and Streaming processing tools (e.g. Kinesis) Strong problem-solving and analytical skills, with the ability to troubleshoot and resolve complex data-related issues Proficient in data integration techniques including APIs and real-time ingestion Excellent More ❯

containerized applications (Docker) and container orchestrators Fluent in English - both written and verbal Nice to Have Knowledge in any of these areas: Python, JavaScript, OIDC, CloudFormation, AWS CDK, AWS Kinesis, Serverless architectures, Distributed tracing, ISO 27001, Penetration testing, CDNs, Queue systems #RemoteUK Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than More ❯

Data Engineers to co-develop solution designs, align architectural decisions, and ensure technical consistency across the platform. Prior experience with AWS and its data ecosystem (e.g., Redshift, Glue, Lambda, Kinesis) is beneficial. Expertise in modern data pipeline architectures, covering both batch and real-time/streaming workloads, including event-driven patterns. Strong understanding of CI/CD, DevOps, and More ❯

for skills in the following: Proven experience as an AWS Data SME or AWS Data Engineer , working extensively with AWS cloud services. Expertise in AWS Redshift, Glue, Lambda, Terraform, Kinesis, Athena, and EMR . Strong ETL/ELT development and data warehousing experience. Proficiency in Python, Java, or Scala for data processing and automation. In-depth knowledge of SQL … Apache Kafka, and Amazon RDS . Experience in data security, governance, and compliance best practices . Familiarity with CI/CD pipelines, DevOps methodologies, and monitoring/logging best practices . Strong problem-solving skills , with the ability to work in a collaborative and fast-paced environment . Preferred Qualifications: AWS Certified Data Analytics - Specialty or AWS Certified Solutions More ❯

development, infrastructure optimization, and deployment of scalable solutions for our programmatic advertising platform. What You'll Do Operate and evolve our big data stack on AWS (including MSK, EMR, Kinesis, Glue, and MWAA) Design, implement, and optimize ETL pipelines for large-scale data processing Collaborate with the Data Science team to prepare and manage datasets for model training and … activities: evaluating new tools, improving system performance, and ensuring scalability What We're Looking For Knowledge of AWS data services: MSK (Kafka: message broker), EMR (Spark/Flink), Glue, Kinesis, MWAA (Airflow) Basic understanding of cloud environments (preferably AWS) Basic experience with infrastructure-as-code tools (e.g., Terraform, AWS CDK, or CloudFormation) Strong interest in big data processing and More ❯

roadmaps with Cox Automotive’s pan-European growth goals and client needs. Data Platform: Oversee the architecture of our data lakehouse (Snowflake, Databricks) and real-time pipelines (Kafka, AWS Kinesis). Salesforce Integrations: Ensure seamless workflows across Financial Services Cloud, Marketing Cloud, and CPQ. Decision Engine: Prioritise AI/ML use cases (e.g., dynamic pricing, desirability scoring) and ensure More ❯

roadmaps with Cox Automotive’s pan-European growth goals and client needs. Data Platform: Oversee the architecture of our data lakehouse (Snowflake, Databricks) and real-time pipelines (Kafka, AWS Kinesis). Salesforce Integrations: Ensure seamless workflows across Financial Services Cloud, Marketing Cloud, and CPQ. Decision Engine: Prioritise AI/ML use cases (e.g., dynamic pricing, desirability scoring) and ensure More ❯

querying and preparation. Data Architectures: Understanding of modern data infrastructure (lakehouses, data lakes, vector databases). Additional (Nice-to-Have) Skills Infrastructure as Code: Terraform or similar. Streaming: Kafka, Kinesis, Event Hubs. AWS or Azure certifications. Consulting or Energy sector experience. Public Thought Leadership (blogs, conferences, open source). Effective stakeholder engagement and business requirements translation. Integration with complex More ❯

Social network you want to login/join with: £60,000 – £80,000 base salary + performance-related bonus + benefits Performance-Related Bonus Benefits (listed below) TL;DR Role: Senior AI Engineer (Agentic AI & LLM Focus) Location: UK-based More ❯

Engineer with strong experience of data models, data mining and segmentation techniques You have coding skills with Python (or C#) and SQL You have experience with SQL databases (e.g. Amazon Redshift, PostgreSQL) You have experience with data tooling (e.g. Airflow, DBT, AWS Kinesis) You have strong analysis and problem solving skills You're collaborative with excellent communication skills More ❯

tools like Airflow, Dagster, or Azure Data Factory Desirable Skills Background in software engineering or DevOps practices (CI/CD, version control, testing) Experience with streaming technologies (e.g., Kafka, Kinesis) Exposure to deploying AI/ML models in production environments Knowledge of tools like Databricks, BigQuery, or Microsoft Fabric More ❯

use of data. Key Responsibilities The data platform team ensures consistent, timely, and accurate data delivery to consumers, while maintaining scalable and efficient pipelines. Our stack consists of: AWS Kinesis Databricks DLT PowerBI/Fabric SQL Server On a day-to-day basis, you will: Develop and maintain new and existing data pipelines. Collaborate on the implementation and ingestion More ❯

Ready to revolutionize healthcare, making it faster and more accessible than ever before? How we started: Back in 2013, our founder Dwayne D’Souza saw an opportunity to give people faster and more convenient access to medications using technology. We More ❯

SQL, and modern ETL tools (e.g., Airflow, dbt) Solid grasp of cloud platforms (AWS/GCP/Azure) and data warehouses (e.g., BigQuery, Snowflake) Familiarity with streaming technologies (Kafka, Kinesis, etc.) Passion for clean, maintainable code and robust data systems Previous experience in a fintech or regulated environment is a plus Benefits: Join a collaborative, mission-driven team at More ❯

SQL, and modern ETL tools (e.g., Airflow, dbt) Solid grasp of cloud platforms (AWS/GCP/Azure) and data warehouses (e.g., BigQuery, Snowflake) Familiarity with streaming technologies (Kafka, Kinesis, etc.) Passion for clean, maintainable code and robust data systems Previous experience in a fintech or regulated environment is a plus Benefits: Join a collaborative, mission-driven team at 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯