junior members of the team and influencing them with your vision. Our tech stacks vary between products (such as OracleDB, MongoDB, Elastic Search and Hadoop for data storage and a mixture of commercial-off-the-shelf products and custom applications. We embrace a DevSecOps (Development, Security, and operations) mindset more »
relevant experience in building DW/BI systems · Demonstrated ability in data modeling, ETL development, and Data warehousing. · Strong experience with Big Data Technologies (Hadoop, Hive, Hbase, Pig, Spark, etc.) · Expertise in a BI solution like Power BI · Hands on experience in modelling databases (particularly nosql), working on indexes more »
AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. more »
AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. more »
AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. more »
AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. more »
AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. more »
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 »
london, south east england, United Kingdom Hybrid / WFH Options
Solirius Consulting
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 »
ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. more »
Glue, AWS Redshift, and Python Experience with ETL processes, data integration, and data warehousing. Strong SQL skills Experience with Big Data technologies such as Hadoop, Spark, and Kafka Familiarity with cloud platforms (AWS, Azure, Google Cloud) Working knowledge of data visualisation tools (PowerBI, Tableau, Qlik Sense) Additional Skills: Client more »
modern data engineering technology stack compatible with AWS. Experience with web scraping and other data ingestion methods and tools. Knowledge of distributed computing frameworks (Hadoop, Spark, Hive, Presto). Experience with data orchestration tools (Airflow, Orchestra, Azkaban). Expertise in cloud data warehousing and core data modelling concepts. Proficiency more »
ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. more »
ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. more »
ETL processes, and data warehousing. - Significant exposure and hands on at least 2 of the programming languages - Python, Java, Scala, GoLang. - Significant experience with Hadoop, Spark and other distributed processing platforms and frameworks. - Experience working with Open table/storage formats like delta lake, apache iceberg or apache hudi. more »
ETL processes, and data warehousing. - Significant exposure and hands on at least 2 of the programming languages - Python, Java, Scala, GoLang. - Significant experience with Hadoop, Spark and other distributed processing platforms and frameworks. - Experience working with Open table/storage formats like delta lake, apache iceberg or apache hudi. more »
London, England, United Kingdom Hybrid / WFH Options
Version 1
Hub, IOT Hub, Apache Kafka, Nifi for use with streaming data/event-based data Experience with other Open Source big data products eg Hadoop (incl. Hive, Pig, Impala) Experience with Open Source non-relational/NoSQL data repositories (incl. MongoDB, Cassandra, Neo4J) Experience working with structured and unstructured more »
Belfast, Northern Ireland, United Kingdom Hybrid / WFH Options
Version 1
Hub, IOT Hub, Apache Kafka, Nifi for use with streaming data/event-based data Experience with other Open Source big data products eg Hadoop (incl. Hive, Pig, Impala) Experience with Open Source non-relational/NoSQL data repositories (incl. MongoDB, Cassandra, Neo4J) Experience working with structured and unstructured more »
looking for you to demonstrate include: Experience of data storage technologies: Delta Lake, Iceberg, Hudi Sound knowledge and understanding of Apache Spark, Databricks or Hadoop Ability to take business requirements and translate these into tech specifications Knowledge of Architecture best practices and patterns Competence in evaluating and selecting development 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 »
london, south east 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 »
one leading business intelligence platform (e.g. Microsoft, Crystal, Qlik, SAP, Tableau). Good understanding of open source, big data, and cloud data platforms (e.g. Hadoop, Spark, Hive, Pentaho, AWS, Azure); given a business problem, you can analyse and evaluate options and recommend solutions. Proven experience in designing, building and more »
know one or more of the following tools: Informatica PowerCenter, SAS Data Integration Studio, Microsoft SSIS, Ab Initio, etc. • Ideally, you have experience in Hadoop ecosystem (Spark, Kafka, HDFS, Hive, HBase, …), Docker and orchestration platform (Kubernetes, Openshift, AKS, GKE...), and noSQL Databases (MongoDB, Cassandra, Neo4j) • Any experience with cloud more »
through improved data handling and analysis. Responsibilities: Build predictive models using machine-learning techniques that generate data-driven insights on modern data platforms (Spark, Hadoop and other map-reduce tools); Develop and productionalize containerized algos for deployment in hybrid cloud environments (GCP, Azure) Connect and blend data from various more »
London, England, United Kingdom Hybrid / WFH Options
Global Relay
Bitbucket, Maven, Helm Instrumentation and monitoring: Splunk, Prometheus, Grafana, Elk Languages and frameworks: Bash, Java, Groovy, Go, Python, React Big data technologies: Cassandra, ArangoDB, Hadoop, Kafka, MongoDB, minIO, Ceph About You: You have an automation-first mindset. You enjoy sharing your knowledge and have a thirst for expanding your more »