12 of 12 Hadoop Jobs in the South West

. Strong working experience with operational data stores, data warehouse, big data technologies and data lakes Experience in using distributed frameworks (Spark, Flink, Beam, Hadoop) Good knowledge of containers (Docker, Kubernetes etc) and experience with cloud platforms such as GCP, Azure or AWS. Strong experience working with (Real Time ...

. Strong working experience with operational data stores, data warehouse, big data technologies and data lakes Experience in using distributed frameworks (Spark, Flink, Beam, Hadoop) Good knowledge of containers (Docker, Kubernetes etc) and experience with cloud platforms such as GCP, Azure or AWS. Strong experience working with (Real Time ...

. Strong working experience with operational data stores, data warehouse, big data technologies and data lakes Experience in using distributed frameworks (Spark, Flink, Beam, Hadoop) Good knowledge of containers (Docker, Kubernetes etc) and experience with cloud platforms such as GCP, Azure or AWS. Strong experience working with (Real Time ...

infrastructure underpinning data systems through a DevOps approach Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop Good understanding of the possible architectures involved in modern data system design (e.g. Data Warehouse, Data Lakes and Data Meshes) and the different ...

infrastructure underpinning data systems through a DevOps approach Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop Good understanding of the possible architectures involved in modern data system design (e.g. Data Warehouse, Data Lakes and Data Meshes) and the different ...

algorithms, model optimization, and deploying scalable solutions in cloud environments. Experience with version control (Git), Linux, Docker, and data engineering tools such as Hadoop, Spark, and Elasticsearch. Strong problem-solving, team collaboration, and communication skills. Business Development (either in a commercial environment or through 'selling your ideas') a plus ...

algorithms, model optimization, and deploying scalable solutions in cloud environments. Experience with version control (Git), Linux, Docker, and data engineering tools such as Hadoop, Spark, and Elasticsearch. Strong problem-solving, team collaboration, and communication skills. Business Development (either in a commercial environment or through 'selling your ideas') a plus ...

algorithms, model optimization, and deploying scalable solutions in cloud environments. Experience with version control (Git), Linux, Docker, and data engineering tools such as Hadoop, Spark, and Elasticsearch. Strong problem-solving, team collaboration, and communication skills. Business Development (either in a commercial environment or through 'selling your ideas') a plus ...

algorithms, model optimization, and deploying scalable solutions in cloud environments. Experience with version control (Git), Linux, Docker, and data engineering tools such as Hadoop, Spark, and Elasticsearch. Strong problem-solving, team collaboration, and communication skills. Business Development (either in a commercial environment or through 'selling your ideas') a plus ...

algorithms, model optimization, and deploying scalable solutions in cloud environments. Experience with version control (Git), Linux, Docker, and data engineering tools such as Hadoop, Spark, and Elasticsearch. Strong problem-solving, team collaboration, and communication skills. Business Development (either in a commercial environment or through 'selling your ideas') a plus ...

algorithms, model optimization, and deploying scalable solutions in cloud environments. Experience with version control (Git), Linux, Docker, and data engineering tools such as Hadoop, Spark, and Elasticsearch. Strong problem-solving, team collaboration, and communication skills. Business Development (either in a commercial environment or through 'selling your ideas') a plus ...

performance and security. Ensure secure, scalable, and cost-effective deployments on cloud platforms (AWS, Azure, or GCP). An understanding of all the Hadoop daemons along with their roles and responsibilities in the cluster. Should be able to troubleshoot issues in Cloudera services and fix those. Adding and removing ...