1 to 25 of 41 Hadoop Jobs with Hybrid or WFH Options

Driven Development to enable the rapid delivery of working code utilizing tools like Jenkins, Maven, Ansible, Git, and Docker. · Experience with big data tools: Hadoop, Spark, Kafka, etc. · Experience with relational SQL and NoSQL databases, particularly Postgres . · Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow more »

of security principles and best practices for cloud-based solutions. Preferred Skills: Certification in cloud platforms. Experience with big data technologies such as Apache Hadoop, Spark, or Kafka. Knowledge of data governance and compliance frameworks. Familiarity with DevOps practices and tools (e.g., Git, Jenkins, Terraform). HSBC experience is more »

CLI and IAM etc. (required) Experience with distributed message brokers using Kafka (required) Experience with high speed distributed computing frameworks such as AWS EMR, Hadoop, HDFS, S3, MapReduce, Apache Spark, Apache Hive, Kafka Streams, Apache Flink etc. (required) Experience working with various types of databases like Relational, NoSQL, Object more »

of security principles and best practices for cloud-based solutions. Preferred Skills : Certification in cloud platforms. Experience with big data technologies such as Apache Hadoop, Spark, or Kafka. Knowledge of data governance and compliance frameworks. Familiarity with DevOps practices and tools (e.g., Git, Jenkins, Terraform). All profiles will more »

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 data pipelines on a more »

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 data pipelines on a more »

solving skills and creativity. Google Cloud Professional Cloud Architect or Professional Cloud Developer certification Very Disrable to have hands-on experience with ETL tools, Hadoop-based technologies (e.g., Spark), and batch/streaming data pipelines (e.g., Beam, Flink etc) Proven expertise in designing and constructing data lakes and data more »

and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau more »

PyTorch etc.) MLOps experience Nice to have: Familiarity with Git or other Version Control Systems Computer Vision Library exposure Understanding of Big Data Technologies (Hadoop, Spark etc) Experience with Cloud platforms (AWS, GCP or Azure) This is a fully remote role, but may require very occasional travel (once a more »

Linux, APIs, infrastructure design load balancing, VMs, PostgreSQL, vector dbs. Senior ML Learning Engineer desirable skills: Version control (Git), computer vision libraries, Big Data (Hadoop, Spark), Cloud AWS, Google Cloud, Azure, and a knowledge of secure coding techniques PCI-DSS, PA-DSS, ISO27001. This is a fantastic opportunity to more »

ML frameworks (TensorFlow, PyTorch) Nice to have: Familiarity with Git or other Version Control Systems Computer Vision Library exposure Understanding of Big Data Technologies (Hadoop, Spark etc) Experience with Cloud platforms (AWS, GCP or Azure) This is a fully remote role, but may require very occasional travel (once a more »

Systems: Linux, APIs, infrastructure design load balancing, VMs, PostgreSQL, vector dbs. ML Learning Engineer desirable skills: Version control (Git), computer vision libraries, Big Data (Hadoop, Spark), Cloud AWS, Google Cloud, Azure, and a knowledge of secure coding techniques PCI-DSS, PA-DSS, ISO27001. Note: as there are actually two more »

JMeter or similar tools Web services technology such as REST, JSON or Thrift Testing web applications with Selenium WebDriver Big data technology such as Hadoop, MongoDB, Kafka or SQL Network principles and protocols such as HTTP, TLS and TCP Continuous integration systems such as Jenkins or Bamboo Continuous delivery more »

essential: -Proven experience as an Architect and excellent knowledge of Big Data -Great understanding of Cloud e.g. Azure and or AWS -Excellent knowledge of Hadoop and tools such as Hbase/Hive and Spark etc -Excellent experience of ETL, data warehousing and handling a variety of data types -Very 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 »

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 »

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 »

Deploying and maintaining Kubernetes applications DevOps and MLOPs IT automation (e.g., SaltStack, Ansible, Terraform, etc.) - Familiarity utilizing virtualization and distributed file systems, such as Hadoop (or similar distributed file systems) in development and production environments; - Familiarity using git, svn, JIRA, or other version control and program management technologies; - Amazon more »

Deploying and maintaining Kubernetes applications DevOps and MLOPs IT automation (e.g., SaltStack, Ansible, Terraform, etc.) - Familiarity utilizing virtualization and distributed file systems, such as Hadoop (or similar distributed file systems) in development and production environments; - Familiarity using git, svn, JIRA, or other version control and program management technologies; - Amazon more »

Deploying and maintaining Kubernetes applications DevOps and MLOPs IT automation (e.g., SaltStack, Ansible, Terraform, etc.) - Familiarity utilizing virtualization and distributed file systems, such as Hadoop (or similar distributed file systems) in development and production environments; - Familiarity using git, svn, JIRA, or other version control and program management technologies; - Amazon more »

Deploying and maintaining Kubernetes applications DevOps and MLOPs IT automation (e.g., SaltStack, Ansible, Terraform, etc.) - Familiarity utilizing virtualization and distributed file systems, such as Hadoop (or similar distributed file systems) in development and production environments; - Familiarity using git, svn, JIRA, or other version control and program management technologies; - Amazon more »

Deploying and maintaining Kubernetes applications DevOps and MLOPs IT automation (e.g., SaltStack, Ansible, Terraform, etc.) - Familiarity utilizing virtualization and distributed file systems, such as Hadoop (or similar distributed file systems) in development and production environments; - Familiarity using git, svn, JIRA, or other version control and program management technologies; - Amazon more »

Deploying and maintaining Kubernetes applications DevOps and MLOPs IT automation (e.g., SaltStack, Ansible, Terraform, etc.) - Familiarity utilizing virtualization and distributed file systems, such as Hadoop (or similar distributed file systems) in development and production environments; - Familiarity using git, svn, JIRA, or other version control and program management technologies; - Amazon more »

Deploying and maintaining Kubernetes applications DevOps and MLOPs IT automation (e.g., SaltStack, Ansible, Terraform, etc.) - Familiarity utilizing virtualization and distributed file systems, such as Hadoop (or similar distributed file systems) in development and production environments; - Familiarity using git, svn, JIRA, or other version control and program management technologies; - Amazon more »

Deploying and maintaining Kubernetes applications DevOps and MLOPs IT automation (e.g., SaltStack, Ansible, Terraform, etc.) - Familiarity utilizing virtualization and distributed file systems, such as Hadoop (or similar distributed file systems) in development and production environments; - Familiarity using git, svn, JIRA, or other version control and program management technologies; - Amazon more »