1 to 25 of 32 Hadoop Jobs with Hybrid or WFH Options

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 »

Experience with cloud technologies i.e. AWS or Azure Programming language experience i.e. Java, Python, node.js or SQL Data technologies experience i.e. PostgreSQL, MongoDB, kafka, Hadoop If you are interested in discussing this DevOps Engineer role further, please apply or send a copy of your updated CV to (url removed more »

Experience with cloud technologies i.e. AWS or Azure Programming language experience i.e. Java, Python, node.js or SQL Data technologies experience i.e. PostgreSQL, MongoDB, kafka, Hadoop If you are interested in discussing this DevOps Engineer role further, please apply or send a copy of your updated CV to (url removed more »

e.g., PostgreSQL), NoSQL databases (e.g., MongoDB), and implement data streaming solutions (e.g., Kafka) for efficient data handling. Work with big data technologies such as Hadoop to manage and analyse large datasets. Implement security best practices and ensure compliance with cybersecurity standards. Collaborate with development teams to integrate security practices … Familiarity with SQL and database management systems, including relational and NoSQL databases. Knowledge of data streaming technologies (e.g., Kafka) and big data platforms (e.g., Hadoop). Understanding of cybersecurity principles and best practices. Familiarity with architectural styles and experience in implementing DevSecOps practices. Excellent problem-solving skills and attention more »

the nuances of dealing with structured and unstructured data, and be experienced in using databases (Mongo ideally) Experience with Linux Experience with Spark (Pyspark), Hadoop or other Big data technologies would be beneficial, but not required Benefits Why we think you'll enjoy it here: Base Salary of up 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 »

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 »

The following skills/experience is essential: -Proven experience as a Lead Big Data Engineer with excellent knowledge of Big Data -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 »

following skills/experience is essential: -Proven experience as an Architect and excellent knowledge of Big Data -Excellence experience across Azure -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 »

scalability, and extensibility. The following skills/experience is essential: -Proven experience as an Architect and excellent knowledge of Big Data -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 »

Cloud Architect/Data Architect/Cloud Data Architect ⚙️ Google Cloud/GCP, Data Engineering Knowledge/Background, Kubernetes, Clusters, Spark, Hadoop, ETL Tools etc 🏡Remote Based, Work From Home/WFH 💷£90k-£120k basic salary + bonus Benefits: 25 days holiday + bank holidays Private Healthcare Discounted Gym … 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 »

BASED WITH VERY OCCASIONAL TRAVEL TO CLIENT SITES AND OFFICE. Would you like to the opportunity to expand your skillset across Java, Python, Spark, Hadoop, Trino & Airflow across the Banking & Financial Services industries? How about if you worked with an Innovation Partner of the Year Winner (2023 Oracle EMEA … with the latest trends and best practices, and share knowledge with the team. Qualifications You will have expertise within the following: Java, Python, Spark, Hadoop (Essential) Trino, Airflow (Desirable) Architecture and capabilities. Designing and implementing complex solutions with a focus on scalability and security. Excellent communication and collaboration skills. more »

algorithms and data structures A proactive mindset with excellent problem-solving and communication skills Experience with big data technologies such as Apache Kafka, Spark, Hadoop, or similar systems. Preferred Skills: Demonstrated experience with scripting languages like Python, Bash, etc Testing and troubleshooting skills with the ability to walk from 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 »

in our relationships. Key Skills : Strong Snowflake Development experience Hands-on experience on Data Modelling/Data Migration and related tools Sound Knowledge on Hadoop Architecture Strong knowledge of SQL Experience in Jenkins, Astronomer Why Narwal? Opportunity to shape the future of a rapidly growing company. Competitive salary and more »

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 »

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: Circa 10% per annum • DV Bonus: Circa £5,000 • Flex Fund: £5000 • Health: Private 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 at least 2 years of experience in quantitative or computational functions. Experience with analytics and statistical software such as SQL, R, Python, Excel, Hadoop, SAS, SPSS and/or others to perform analysis and interpret data Deep knowledge of SQL Deep knowledge of open source data science and 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 »

continuously enhancing our technical capabilities. Must-Have Skills: Proficiency in Python and Java, with experience in any flavor of Spark. In-depth knowledge of Hadoop ecosystem components. Expertise in CI/CD pipelines and a solid understanding of DevOps practices. Hands-on experience with containerization technologies. String experience in 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 »

e.g., PostgreSQL), NoSQL databases (e.g., MongoDB), and implement data streaming solutions (e.g., Kafka) for efficient data handling. Work with big data technologies such as Hadoop to manage and analyse large datasets. Implement security best practices and ensure compliance with cybersecurity standards. Collaborate with development teams to integrate security practices … Familiarity with SQL and database management systems, including relational and NoSQL databases. Knowledge of data streaming technologies (e.g., Kafka) and big data platforms (e.g., Hadoop). Understanding of cybersecurity principles and best practices. Familiarity with architectural styles and experience in implementing DevSecOps practices. Excellent problem-solving skills and attention 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 »