mining, Data warehousing, ETL Experience in handling large volumes of data on SQL, NoSQL and Big Data databases Experience in Hadoop ecosystem: Hadoop, Spark, Hive, and/or Scala Experience in programming languages: PHP, Python, C++/Java Experience in Web development in Laravel MVC Framework Comfortable working in more »
software engineering, computer science or a similar field. Comfortable programming in Python and Scala (or Java) Knowledgeable in Big Data technologies, in particular Hadoop, Hive, and Spark. Experience in building real-time applications, preferably in Spark Good understanding of machine learning pipelines and machine learning frameworks such as TensorFlow more »
rapid prototyping and disciplined software development processes Experience with Python, ML libraries (e.g. spaCy, NumPy, SciPy, Transformers, etc.)data tools and technologies (Spark, Hadoop, Hive, Redshift, SQL), and toolkits for ML and deep learning (SparkML, Tensorflow, Keras) Demonstrated ability to work on multi-disciplinary teams with diverse skillsets Deploying more »
Azure SQL Data Warehouse, Azure Data Lake,AWS S3,AWS RDS,AWS Lambda or similar Have experience with Open Source big data products i.e.Hadoop Hive, Pig, Impala or similar Have experience with Open Source non-relational or NoSQL data repositories such as:MongoDB, Cassandra, Neo4J or similar Be confident more »
Newcastle upon Tyne, Northumberland, United Kingdom
Confidential
SQL Data Warehouse, Azure Data Lake, AWS S3,AWS RDS,AWS Lambda or similar Have experience with Open Source big data products i.e. Hadoop Hive, Pig, Impala or similar Have experience with Open Source non-relational or NoSQL data repositories such as: MongoDB, Cassandra, Neo4J or similar Be confident more »
Azure storage, Azure data lake storage, Azure data bricks, Azure AD, Azure ML etc. Experience with big data technologies such as Cloudera, Spark, Sqoop, Hive, HDFS, Flume, Storm, and Kafka. Experience with Microsoft CoPilot, and exposure to TensorFlow, Python NLTK are a plus more »
Azure storage, Azure data lake storage, Azure data bricks, Azure AD, Azure ML etc. Experience with big data technologies such as Cloudera, Spark, Sqoop, Hive, HDFS, Flume, Storm, and Kafka. Experience with Microsoft CoPilot, and exposure to TensorFlow, Python NLTK are a plus Typically requires 17 years of relevant more »
concepts and technologies, including star and snowflake schema designs. Big Data Technologies: Understanding of big data platforms such as Hadoop, Spark, and tools like Hive, Pig, and HBase. Data Integration: Ability to integrate data from disparate sources using middleware or integration tools as well as streaming capabilities such as more »
Azure storage, Azure data lake storage, Azure data bricks, Azure AD, Azure ML etc. Experience with big data technologies such as Cloudera, Spark, Sqoop, Hive, HDFS, Flume, Storm, and Kafka. Responsibilities Create, maintain, and govern architectural views and blueprints depicting the Business and IT landscape in its current, transitional more »
SQL Data Warehouse, Azure Data Lake, Azure Databricks Azure Cosmos DB, Azure Data Factory, Azure Search, Azure Stream Analytics Delta Lake and Data Lakes Apache Spark Pools, SQL Pools (dpools and spools) Experience in Python, C# coding, Spark, PySpark, Unix shell/Perl scripting experience. Experience in API data … as part of high-volume data ingestion and transformation pipelines. Data Governance, Data Quality, MDM, Lineage, Data Catalog etc. Development experience using Presto/Hive, Digdag, YAML. About Clarion Events Clarion Events is one of the world s leading event organisers, producing and delivering innovative and market-leading events more »
azure Real Time integration ETL data warehousing data catalog analytics BI operation datastores azure data bricks azure AD azure ML cloud era Spark sqoop Hive HDFS flume storm and kafka This role will be responsible for developing data architecture plans and driving the plans to fruition in collaboration with … Azure storage, Azure data lake storage, Azure data bricks, Azure AD, Azure ML etc. Experience with big data technologies such as Cloudera, Spark, Sqoop, Hive, HDFS, Flume, Storm, and Kafka. Experience with Microsoft CoPilot, and exposure to TensorFlow, Python NLTK are a plus Typically requires 17 years of relevant more »
