1 to 25 of 41 Remote Permanent Amazon Kinesis Jobs

sensitive environments. Desirable skills: AWS Certified Solutions Architect - Professional or equivalent Experience with data mesh, data product thinking, or domain-driven design Exposure to real-time data processing (e.g., Kinesis, Kafka) Experience in highly regulated industries such as banking or insurance Rewards & Benefits TCS is consistently voted a Top Employer in the UK and globally. Our competitive salary packages More ❯

sensitive environments. Desirable skills: AWS Certified Solutions Architect – Professional or equivalent Experience with data mesh, data product thinking, or domain-driven design Exposure to real-time data processing (e.g., Kinesis, Kafka) Experience in highly regulated industries such as banking or insurance Rewards & Benefits TCS is consistently voted a Top Employer in the UK and globally. Our competitive salary packages More ❯

sensitive environments. Desirable skills: AWS Certified Solutions Architect – Professional or equivalent Experience with data mesh, data product thinking, or domain-driven design Exposure to real-time data processing (e.g., Kinesis, Kafka) Experience in highly regulated industries such as banking or insurance Rewards & Benefits TCS is consistently voted a Top Employer in the UK and globally. Our competitive salary packages More ❯

sensitive environments. Desirable skills: AWS Certified Solutions Architect – Professional or equivalent Experience with data mesh, data product thinking, or domain-driven design Exposure to real-time data processing (e.g., Kinesis, Kafka) Experience in highly regulated industries such as banking or insurance Rewards & Benefits TCS is consistently voted a Top Employer in the UK and globally. Our competitive salary packages More ❯

sensitive environments. Desirable skills: AWS Certified Solutions Architect – Professional or equivalent Experience with data mesh, data product thinking, or domain-driven design Exposure to real-time data processing (e.g., Kinesis, Kafka) Experience in highly regulated industries such as banking or insurance Rewards & Benefits TCS is consistently voted a Top Employer in the UK and globally. Our competitive salary packages More ❯

sensitive environments. Desirable skills: AWS Certified Solutions Architect – Professional or equivalent Experience with data mesh, data product thinking, or domain-driven design Exposure to real-time data processing (e.g., Kinesis, Kafka) Experience in highly regulated industries such as banking or insurance Rewards & Benefits TCS is consistently voted a Top Employer in the UK and globally. Our competitive salary packages More ❯

technologies for ETL pipeline, data 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 technical skills to problem solve More ❯

betting, gaming, or a similar high-volume data environment. Strong coding skills in Python and advanced SQL expertise. Hands-on experience with AWS data tools (S3, Glue, Lambda, Redshift, Kinesis, etc.). Proficiency with Power BI (or equivalent data visualisation tools). Solid experience building and supporting data models for forecasting, pricing, or predictive analytics. Strong communication and stakeholder More ❯

betting, gaming, or a similar high-volume data environment. Strong coding skills in Python and advanced SQL expertise. Hands-on experience with AWS data tools (S3, Glue, Lambda, Redshift, Kinesis, etc.). Proficiency with Power BI (or equivalent data visualisation tools). Solid experience building and supporting data models for forecasting, pricing, or predictive analytics. Strong communication and stakeholder More ❯

betting, gaming, or a similar high-volume data environment. Strong coding skills in Python and advanced SQL expertise. Hands-on experience with AWS data tools (S3, Glue, Lambda, Redshift, Kinesis, etc.). Proficiency with Power BI (or equivalent data visualisation tools). Solid experience building and supporting data models for forecasting, pricing, or predictive analytics. Strong communication and stakeholder More ❯

betting, gaming, or a similar high-volume data environment. Strong coding skills in Python and advanced SQL expertise. Hands-on experience with AWS data tools (S3, Glue, Lambda, Redshift, Kinesis, etc.). Proficiency with Power BI (or equivalent data visualisation tools). Solid experience building and supporting data models for forecasting, pricing, or predictive analytics. Strong communication and stakeholder More ❯

a backend developer to work on the following tech stack: NodeJS/Typescript/Mocha/Sinon/Terraform/Git/Gitlab CICD/Docker AWS (ECS, EC2, Kinesis, Firehose, RDS, Lambda, S3, DynamoDB, SQS, SNS) Databases – Postgres/MySQL As a Senior Developer my client is looking for strong critical thinker with excellent problem-solving skills. Someone More ❯

systems (e.g., pipelines, model serving, feature stores, analytics workloads) Nice to Have: * Experience integrating Python ML services (TF/torch), feature stores, or model registries * Event streaming & messaging (Kafka, Kinesis, NATS, SQS, Pub/Sub) * Observability stacks (OpenTelemetry, Prometheus, Grafana) * IaC (Terraform), security-by-design, OAuth/OIDC, secrets management * Batch & streaming data processing (Spark/Flink/Beam More ❯

technical direction. AWS | Node | Data Pipelines | Typescript Requirements 4+ years’ experience as a Software Engineer within a SaaS, PaaS, or data-intensive environment Strong experience with AWS cloud technologies (Kinesis, Glue, S3, RDS, Lambda) Node.js or TypeScript for backend development Understanding of ETL , data ingestion , and storage best practices Experience with relational and non-relational databases (PostgreSQL, DynamoDB, MongoDB More ❯

or Senior Data Engineer in a cloud environment (preferably AWS). Expertise in data modelling (Dimensional, Data Vault, Enterprise). Strong knowledge of AWS data services (S3, Redshift, Glue, Kinesis, Lambda, etc.). Experience in Data Strategy and Data Governance Strong communication and stakeholder management skills. The Nice-to-Haves (bonus points if you have these!): Experience with Monte More ❯

deep commercial experience with Databricks. You must have hands-on expertise with Delta Lake and the Lakehouse paradigm. Strong expertise in the AWS data ecosystem (e.g., S3, AWS Glue, Kinesis, IAM) and a deep understanding of how to build, secure, and optimise a Databricks platform within it. Expert-level Python and SQL skills, specifically for data engineering and optimisation. More ❯

deep commercial experience with Databricks. You must have hands-on expertise with Delta Lake and the Lakehouse paradigm. Strong expertise in the AWS data ecosystem (e.g., S3, AWS Glue, Kinesis, IAM) and a deep understanding of how to build, secure, and optimise a Databricks platform within it. Expert-level Python and SQL skills, specifically for data engineering and optimisation. More ❯

deep commercial experience with Databricks. You must have hands-on expertise with Delta Lake and the Lakehouse paradigm. Strong expertise in the AWS data ecosystem (e.g., S3, AWS Glue, Kinesis, IAM) and a deep understanding of how to build, secure, and optimise a Databricks platform within it. Expert-level Python and SQL skills, specifically for data engineering and optimisation. More ❯

Engineer (Databricks) Deep hands-on experience with Databricks, Delta Live Tables (DLT), data modelling, data ingestion & integration Strong proficiency across Data Factory, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, GITHUB/DevOps tools, testing frameworks (SonarQube/PyTest) Proven experience leading data engineering teams while remaining actively hands-on involved in delivery Background within energy, utilities, commodities More ❯

Engineer (Databricks) Deep hands-on experience with Databricks, Delta Live Tables (DLT), data modelling, data ingestion & integration Strong proficiency across Data Factory, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, GITHUB/DevOps tools, testing frameworks (SonarQube/PyTest) Proven experience leading data engineering teams while remaining actively hands-on involved in delivery Background within energy, utilities, commodities More ❯

Engineer (Databricks) Deep hands-on experience with Databricks, Delta Live Tables (DLT), data modelling, data ingestion & integration Strong proficiency across Data Factory, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, GITHUB/DevOps tools, testing frameworks (SonarQube/PyTest) Proven experience leading data engineering teams while remaining actively hands-on involved in delivery Background within energy, utilities, commodities More ❯

Engineer (Databricks) Deep hands-on experience with Databricks, Delta Live Tables (DLT), data modelling, data ingestion & integration Strong proficiency across Data Factory, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, GITHUB/DevOps tools, testing frameworks (SonarQube/PyTest) Proven experience leading data engineering teams while remaining actively hands-on involved in delivery Background within energy, utilities, commodities More ❯

Engineer (Databricks) Deep hands-on experience with Databricks, Delta Live Tables (DLT), data modelling, data ingestion & integration Strong proficiency across Data Factory, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, GITHUB/DevOps tools, testing frameworks (SonarQube/PyTest) Proven experience leading data engineering teams while remaining actively hands-on involved in delivery Background within energy, utilities, commodities More ❯

Engineer (Databricks) Deep hands-on experience with Databricks, Delta Live Tables (DLT), data modelling, data ingestion & integration Strong proficiency across Data Factory, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, GITHUB/DevOps tools, testing frameworks (SonarQube/PyTest) Proven experience leading data engineering teams while remaining actively hands-on involved in delivery Background within energy, utilities, commodities More ❯

CSVs, JSON, lists or similar formats Worked with databases and writing complex queries Prior exposure to working closely with data engineers or building on top of systems like Databricks, Kinesis or large-scale ETL pipelines Experience working in AWS environments using services like DynamoDB, Lambda Bonus Points for: Interest or experience in natural language to SQL functionality or experimentations More ❯