technologies, languages, and techniques in the rapidly evolving world of high-volume data processing. Technologies We Use: Development languages/frameworks : Java/Scala, Apache Spark, Kafka, Vertica, JavaScript (React/Redux), MicroStrategy Amazon : EMR, Step Functions, SQS, LaMDA and AWS cloud-native architectures DevOps Tools : Terraform or Cloud more »
technologies, languages, and techniques in the rapidly evolving world of high-volume data processing. Technologies We Use: Development languages/frameworks : Java/Scala, Apache Spark, Kafka, Vertica, JavaScript (React/Redux), MicroStrategy Amazon : EMR, Step Functions, SQS, LaMDA and AWS cloud-native architectures DevOps Tools : Terraform or Cloud more »
technologies, languages, and techniques in the rapidly evolving world of high-volume data processing. Technologies We Use: Development languages/frameworks : Java/Scala, Apache Spark, Kafka, Vertica, JavaScript (React/Redux), MicroStrategy Amazon : EMR, Step Functions, SQS, LaMDA and AWS cloud-native architectures DevOps Tools : Terraform or Cloud more »
technologies, languages, and techniques in the rapidly evolving world of high-volume data processing. Technologies We Use: Development languages/frameworks : Java/Scala, Apache Spark, Kafka, Vertica, JavaScript (React/Redux), MicroStrategy Amazon : EMR, Step Functions, SQS, LaMDA and AWS cloud-native architectures DevOps Tools : Terraform or Cloud more »
technologies, languages, and techniques in the rapidly evolving world of high-volume data processing. Technologies We Use: Development languages/frameworks : Java/Scala, Apache Spark, Kafka, Vertica, JavaScript (React/Redux), MicroStrategy Amazon : EMR, Step Functions, SQS, LaMDA and AWS cloud-native architectures DevOps Tools : Terraform or Cloud more »
technologies, languages, and techniques in the rapidly evolving world of high-volume data processing. Technologies We Use: Development languages/frameworks : Java/Scala, Apache Spark, Kafka, Vertica, JavaScript (React/Redux), MicroStrategy Amazon : EMR, Step Functions, SQS, LaMDA and AWS cloud-native architectures DevOps Tools : Terraform or Cloud more »
technologies, languages, and techniques in the rapidly evolving world of high-volume data processing. Technologies We Use: Development languages/frameworks : Java/Scala, Apache Spark, Kafka, Vertica, JavaScript (React/Redux), MicroStrategy Amazon : EMR, Step Functions, SQS, LaMDA and AWS cloud-native architectures DevOps Tools : Terraform or Cloud more »
technologies, languages, and techniques in the rapidly evolving world of high-volume data processing. Technologies We Use: Development languages/frameworks : Java/Scala, Apache Spark, Kafka, Vertica, JavaScript (React/Redux), MicroStrategy Amazon : EMR, Step Functions, SQS, LaMDA and AWS cloud-native architectures DevOps Tools : Terraform or Cloud more »
technologies, languages, and techniques in the rapidly evolving world of high-volume data processing. Technologies We Use: Development languages/frameworks : Java/Scala, Apache Spark, Kafka, Vertica, JavaScript (React/Redux), MicroStrategy Amazon : EMR, Step Functions, SQS, LaMDA and AWS cloud-native architectures DevOps Tools : Terraform or Cloud more »
technologies, languages, and techniques in the rapidly evolving world of high-volume data processing. Technologies We Use: Development languages/frameworks : Java/Scala, Apache Spark, Kafka, Vertica, JavaScript (React/Redux), MicroStrategy Amazon : EMR, Step Functions, SQS, LaMDA and AWS cloud-native architectures DevOps Tools : Terraform or Cloud more »
technologies, languages, and techniques in the rapidly evolving world of high-volume data processing. Technologies We Use: Development languages/frameworks : Java/Scala, Apache Spark, Kafka, Vertica, JavaScript (React/Redux), MicroStrategy Amazon : EMR, Step Functions, SQS, LaMDA and AWS cloud-native architectures DevOps Tools : Terraform or Cloud more »
commerce architecture, composable commerce Required Full Stack JavaScript, TypeScript, Nodejs, React Experience with Commercetools and other microservices based commerce platforms server technologies including Linux, Apache, Node.js, Nginx, RoR cloud platforms like AWS, Azure or GCP REST APIs, GraphQL Preferred Certifications are a plus AWS Serverless, LAMBDA Kubernetes, Docker, containers more »
proficiency in SQL for data querying and transformation. ● Programming skills in Python, including experience with basic libraries like os, csv, and pandas. ● Experience with Apache Airflow for workflow management. ● Experience with enterprise DBMS (e.g., DB2, MS SQL Server) and cloud data warehouses, particularly Google BigQuery. ● Proficiency in Google Cloud more »
and coding environments. Bonus Skills: Python/PHP/Typescript/ReactJS AI/ML models and usage ETL pipelines in AWS (Glue/Apache Spark) API Load testing If you would like more information on the role or like to apply for then please send your CV to more »
to production, providing subject matter expertise on the .Net stack and contributing to technical design discussions. You'll use a range of technology including Apache Flink with Java for large scale data processing and will be able to assess and recommend new and emerging technologies, using the best tool more »
to production, providing subject matter expertise on the .Net stack and contributing to technical design discussions. You'll use a range of technology including Apache Flink with Java for large scale data processing and will be able to assess and recommend new and emerging technologies, using the best tool more »
management and data governance open source platform that we will teach you. Other technologies in use in our space: RESTful services, Maven/Gradle, Apache Spark, BigData, HTML 5, AngularJs/ReactJs, IntelliJ, Gitlab, Jira. Cloud Technologies: You’ll be involved in building the next generation of finance systems more »
Greater London, England, United Kingdom Hybrid / WFH Options
Understanding Recruitment
use Java (for a very small amount of scripting work) Have public cloud experience with AWS or other cloud providers Have an understanding of Apache products such as Kafka and Flake Good knowledge of development using CI/CD Bonus points if you knowledge of: Web products Financial markets more »
offs explicit and understandable to others REQUIREMENTS 7+ years' coding experience, including 3 years in a dedicated ML Engineering role 2+ years’ experience with Apache Spark Experience working with GB+ scale data Experience with deployed ML services Experience deploying multiple ML projects across different environments Productionisation experience in at more »
or Flink). Technologies: Java, Kotlin, Python (candidate is not expected to be proficient in one, and open to learn about the other) Kubernetes Apache Pulsar GCP, BigQuery, BigTable, Spark (Note: we are at an early stage, these might change these if the team decides there is a better more »
with impressive visualization (Power BI) · Experience in building large scale DW/BI systems for B2B SAAS companies · Experience with open-source tools like Apache Flink and AWS tools like S3, Redshift, EMR and RDS. · Experience with AI/Machine Learning and Predictive Analytics · Experience in developing global products more »
Azure Data Lake , Azure Databricks or GCP Cloud Dataproc . Familiarity with big data technologies and distributed computing frameworks, such as Hadoop, Spark, or Apache Flink. Experience scaling an “API-Ecosystem ”, designing, and implementing “API-First” integration patterns. Experience working with authentication and authorisation protocols/patterns. Other Information more »
structures. Experience of API (REST) development, Docker, and Kubernetes. Familiarity with IntelliJ, Subversion and Maven. Exposure to one or more of the following technologies: Apache Storm, OpenSearch, Cassandra and Kafka. Ability to work within a hybrid Agile methodology. Understand the design and development approaches required to build a scalable more »
Bristol, England, United Kingdom Hybrid / WFH Options
Made Tech
and able to guide how one could deploy infrastructure into different environments. Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop Good understanding of possible architectures involved in modern data system design (Data Warehouse, Data Lakes, Data Meshes) Ability to create more »
