or Django, Docker Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc. Data acquisition and development of data sets and improving data quality Preparing data for predictive and prescriptive modelling Hands on coding experience more »
modern data engineering technology stack. AWS or GCP is a must Experience with data ingestion methods and tools. Experience with distributed computing frameworks (e.g., Hadoop, Spark, Hive, Presto). Experience with data orchestration tools. Experience with cloud data warehousing and core data modelling concepts. Proficiency in version control systems more »
London, England, United Kingdom Hybrid / WFH Options
McGregor Boyall
models, ETL processes, and data warehousing solutions. Programming: Utilize Python, Java, Scala, or GoLang to build and optimize data pipelines. Distributed Processing: Work with Hadoop, Spark, and other platforms for large-scale data processing. Real-Time Data Streaming: Develop and manage pipelines using CDC, Kafka, and Apache Spark. Database more »
Months Location - Hybrid ( 2 days a week) JD : Experience of working with Streaming & Batch technology stack – Confluent Kafka, Mongdb , Streamsets, IBM CDC, Hive, Hadoop, API, Informatica, Airflow, and other similar technologies SME level skills and experience of designing/architecting test automation solutions, ability to creatively problem solve is more »
Greater London, England, United Kingdom Hybrid / WFH Options
Anson McCade
and NoSQL databases Programming languages such as Spark or Python Amazon Web Services, Microsoft Azure or Google Cloud and distributed processing technologies such as Hadoop Benefits: Base Salary: £45,000 - £75,000 (DoE) Discretionary Bonus DV Bonus Flex Fund: £5000 Health: Private Medical Insurance Annual Leave: 25 Days plus more »
East London, London, United Kingdom Hybrid / WFH Options
Be Technology
scalable systems. Deep knowledge of distributed and scalable systems, including proficiency with PostgreSQL, Ray, RabbitMQ, and Cassandra. Familiarity with big data technologies such as Hadoop, Spark, or Kafka . Experience with CI/CD Strong problem-solving skills and the ability to troubleshoot complex issues in distributed systems. Excellent more »
