76 to 100 of 179 Remote Kafka Jobs

cloud platforms such as AWS, Azure, or GCP. Exposure to modern data tools such as Snowflake, Databricks, or BigQuery. Familiarity with streaming technologies (e.g., Kafka, Spark Streaming, Flink) is an advantage. Experience with orchestration and infrastructure tools such as Airflow, dbt, Prefect, CI/CD pipelines, and Terraform. What ...

similar tools Web services technology such as REST, JSON or Thrift Testing web applications with Selenium WebDriver Big data technology such as Hadoop, MongoDB, Kafka or SQL Network principles and protocols such as TLS and TCP Continuous integration systems such as Jenkins or Bamboo Continuous delivery concepts What ...

lineage and reconciliation Experience with microservices and APIs, building scalable services and integrating with wider enterprise platforms Experience across wider tech stack: GitHub, Kubernetes, Kafka, JIRA/Confluence, MongoDB Stakeholder & Presentation Skills: Presenting POCs (proof of concepts), Product Demos (explaining complex tech topics to senior non-tech stakeholders) Desirable ...

drive technical initiatives, influence the team's direction, and guide key architectural decisions Hands-on experience with event-driven architectures, and message brokers like Kafka or ZeroMQ - you know how to keep data flowing seamlessly Bonus points if you've worked with AWS, have an interest in crypto, blockchain ...

looking for a Java Developer who thrives on delivering low-latency, scalable services and event-driven architectures. If you're experienced with Java , Apache Kafka , OpenShift , and have a strong understanding of payments (cards, international payments ). This role is based in a local office. This role will … Design, build, and maintain microservices in Java (preferably Java 11+/17) for mission-critical payment flows. Develop event-driven solutions using Kafka (producers/consumers, schema management, stream processing). Deploy and operate services on OpenShift (Kubernetes-based), including CI/CD pipelines, configuration, scaling, and observability. Implement ...

optimisation. Programming Proficiency: Proficiency in Python and Bash (for data processing, scripting, and automation). Data Streaming: Familiarity with streaming data technologies (e.g., Kinesis, Kafka, or similar). DevOps Principles: Experience with version control (git) and CI/CD for data pipelines. BI/Visualisation: Familiarity with ...

optimisation. Programming Proficiency: Proficiency in Python and Bash (for data processing, scripting, and automation). Data Streaming: Familiarity with streaming data technologies (e.g., Kinesis, Kafka, or similar). DevOps Principles: Experience with version control (git) and CI/CD for data pipelines. BI/Visualisation: Familiarity with ...

management, including ingestion, transformation, cataloguing, and quality. Hands-on experience with cloud architecture of distributed systems (preferably AWS, Azure/GCP desirable), Apache Spark, Kafka, Kubernetes, Terraform, and modern orchestration frameworks. Building high-performing teams, coaching and mentoring technical leaders, developing technical managers and senior individual contributors, and managing ...

RESTful APIs JavaScript Jira/Confluence Unit testing ability It would be a bonus if you've worked with any of the following: Kotlin Kafka Bash Groovy Linux The role is paying up to £65,000 (DOE) plus benefits and will be a hybrid working model of 2 days ...

governance processes, Git version control + Agile development environments. Azure Data Engineer certification preferred -eg- Azure Data Engineer Associate. Advantageous skills: Azure Event Hubs, Kafka, data visualisation tools, Power BI, Tableau, Azure DevOps, Docker, Kubernetes, Jenkins. ...

client systems within a microservices environment (300 services). You'll be working with a modern tech stack using C# .Net Core, AWS, Kubernetes, Kafka, Redis and TypeScript/Angular; using the right tool for the job, you'll be able to pick up new technologies and make recommendations ...

data warehouses; Teradata; Oracle; Designing and developing ETL solutions using SQL/SSIS; Implementing the audit and exception handling process for ETL jobs; Using Kafka for real-time data extraction and transfer; Customizing highly complex OBIA and OOTB informatica mappings; Delivering data products using Data Warehousing databases; Developing ...

testable systems Solid background in microservices architecture Proficiency with Postgres & MongoDB (relational + non-relational) Experience with event-driven architectures and asynchronous workflows (Kafka, Airflow, etc.) Solid coding practices (clean, testable, automated) The mindset of a builder: thrives in fast-paced startup environments, takes ownership, solves complex challenges Bonus ...

/Professional, Azure Data Engineer Associate). * Experience with Azure Synapse SQL or serverless SQL pools. * Familiarity with streaming technologies (e.g., Spark Structured Streaming, Kafka, Event Hub). * Experience with infrastructure-as-code (Terraform or Bicep). * Background in BI or analytics engineering (Power BI, dbt) is a plus. ...

maintain data pipelines, leveraging PySpark and/or Typescript within Foundry, to transform raw data into reliable, usable datasets. Familiarity with Palantir Foundry, PySpark, Kafka, TypeScript, PowerBI preferable. Assist in preparing and optimizing data pipelines to support machine learning and AI model development, ensuring datasets are clean, well-structured ...

Software Systems Core Tech Stack: Languages: Python (Python 3.10+), JavaScript/TypeScript for frontend work, and Go for select infrastructure Tools: RabbitMQ and Kafka for messaging, PostgreSQL and Redis for data storage Environment: Linux servers Observability: OpenTelemetry, Prometheus, Grafana and Zabbix Requirements Must-Haves: Strong background in software development ...

Experience using Large Language Models (LLMs) to prompt engineering, fine-tune foundation models and evaluation and alignment of LLMs 3+ years of experience with Kafka, Airflow, Spark, AWS Glue/Kinesis 3+ years of experience with Databricks or Snowflake Experience using LLM Ops tooling and practices in model versioning ...

Experience using Large Language Models (LLMs) to prompt engineering, fine-tune foundation models and evaluation and alignment of LLMs 3+ years of experience with Kafka, Airflow, Spark, AWS Glue/Kinesis 3+ years of experience with Databricks or Snowflake Experience using LLM Ops tooling and practices in model versioning ...

Experience using Large Language Models (LLMs) to prompt engineering, fine-tune foundation models and evaluation and alignment of LLMs 3+ years of experience with Kafka, Airflow, Spark, AWS Glue/Kinesis 3+ years of experience with Databricks or Snowflake Experience using LLM Ops tooling and practices in model versioning ...

Experience using Large Language Models (LLMs) to prompt engineering, fine-tune foundation models and evaluation and alignment of LLMs 3+ years of experience with Kafka, Airflow, Spark, AWS Glue/Kinesis 3+ years of experience with Databricks or Snowflake Experience using LLM Ops tooling and practices in model versioning ...

Experience using Large Language Models (LLMs) to prompt engineering, fine-tune foundation models and evaluation and alignment of LLMs 3+ years of experience with Kafka, Airflow, Spark, AWS Glue/Kinesis 3+ years of experience with Databricks or Snowflake Experience using LLM Ops tooling and practices in model versioning ...

Experience using Large Language Models (LLMs) to prompt engineering, fine-tune foundation models and evaluation and alignment of LLMs 3+ years of experience with Kafka, Airflow, Spark, AWS Glue/Kinesis 3+ years of experience with Databricks or Snowflake Experience using LLM Ops tooling and practices in model versioning ...

Experience using Large Language Models (LLMs) to prompt engineering, fine-tune foundation models and evaluation and alignment of LLMs 3+ years of experience with Kafka, Airflow, Spark, AWS Glue/Kinesis 3+ years of experience with Databricks or Snowflake Experience using LLM Ops tooling and practices in model versioning ...

Experience using Large Language Models (LLMs) to prompt engineering, fine-tune foundation models and evaluation and alignment of LLMs 3+ years of experience with Kafka, Airflow, Spark, AWS Glue/Kinesis 3+ years of experience with Databricks or Snowflake Experience using LLM Ops tooling and practices in model versioning ...

Experience using Large Language Models (LLMs) to prompt engineering, fine-tune foundation models and evaluation and alignment of LLMs 3+ years of experience with Kafka, Airflow, Spark, AWS Glue/Kinesis 3+ years of experience with Databricks or Snowflake Experience using LLM Ops tooling and practices in model versioning ...