1 to 25 of 50 Hadoop Jobs with Hybrid or WFH Options

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 »

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 »

have: A passion for manipulation and visualization of data. Working knowledge of Linux. Knowledge of network protocols and operation. Data analysis and visualization in Hadoop/Splunk. Experience with network security products and solutions. Ability to work with Python , HTML, CSS and JavaScript experience. If you are a driven 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 »

DynamoDB/etc.) Solid understanding of data governance principles and how to implement these across the business Knowledge of Big Data technology (Spark/Hadoop/etc.) Excellent communication skills across various levels of stakeholders Benefits: Salary available £120,000 Bonus scheme Enhanced pension contribution available Genuine opportunity to 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 »

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 »

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 »

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 »

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 »

a Global Relay DevOps engineer you will be integrated with a software engineering team to develop on premise ('on-prem') solutions including working with Hadoop based technologies. Your role will involve designing, implementing and supporting automated, scalable solutions. Your contribution will have an immediate impact of enabling efficient delivery … them from reoccurring. Deployments: Writing and running deployment automation tools using helm, ansible, or other configuration management systems Platform Integration: With technologies such as Hadoop and Kubernetes Some of the technologies that you will interact with include: Containerisation and virtualisation: Docker, Kubernetes, VMWare Operating Systems: Linux Build and deployment … Jenkins, Bitbucket, Maven, Helm Instrumentation and monitoring: Loki, Prometheus, Grafana, Mimir Languages and frameworks: Bash, Java, Groovy, Go, Python Big data technologies: Cassandra, ArangoDB, Hadoop, Kafka, MongoDB, Ceph Where you have knowledge gaps, training and mentoring will be provided. About You: You have an automation-first mindset. You enjoy more »

warehousing. Min 7yrs with Python Big Data & Data lake solutions; PostgreSQL, Clickhouse or SnowFlake etc Cloud Infrasutcurre (AWS services) Data processing pipelines using Kafka, Hadoop, Hive, Storm, or Zookeeper Hands-on team leadership The Reward Joining a fast-growth, successful blockchain business. The role offers fully remote work, 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 »

in data to join their transformation team. What you'll need to succeed Extensive SQL developer experience. Experienced at dealing with data quality errors. Hadoop/Big Data domain experience and exposure to Hive, Impala, and Spark ecosystem technologies. Excellent knowledge of HDFS, Apache Spark, Spark-SQL, UDF, Sqoop 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 »

have: A passion for manipulation and visualization of data. Working knowledge of Linux. Knowledge of network protocols and operation. Data analysis and visualization in Hadoop/Splunk. Experience with network security products and solutions. Ability to work with Python, HTML, CSS and JavaScript experience. Ifyou are a driven and more »

have: A passion for manipulation and visualization of data. Working knowledge of Linux. Knowledge of network protocols and operation. Data analysis and visualization in Hadoop/Splunk. Experience with network security products and solutions. Ability to work with Python, HTML, CSS and JavaScript experience. Ifyou are a driven and more »

have: A passion for manipulation and visualization of data. Working knowledge of Linux. Knowledge of network protocols and operation. Data analysis and visualization in Hadoop/Splunk. Experience with network security products and solutions. Ability to work with Python, HTML, CSS and JavaScript experience. Ifyou are a driven and more »

have: A passion for manipulation and visualization of data. Working knowledge of Linux. Knowledge of network protocols and operation. Data analysis and visualization in Hadoop/Splunk. Experience with network security products and solutions. Ability to work with Python, HTML, CSS and JavaScript experience. Ifyou are a driven and more »

experience applying ML models Python, SQL or R Any cloud data platforms would be great - AWS, Azure or GCP Any big data technologies like Hadoop would be great Strong communication and stakeholder engagement What’s on offer to you? 💰 £85-95k Bonus of up to 10% Flexible working 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 »

reliability and availability of the company's software products. Data Processing Pipelines : You'll design and implement data processing pipelines using technologies like Kafka, Hadoop, Hive, Storm, or Zookeeper, enabling real-time and batch processing of data from the blockchain. Hands-on Team Leadership : As a hands-on leader more »

Organizational, motivational, and interpersonal skills Additional, But Not Required Skills Spark libraries Scala programming Python programming SQL queries Experience with distributed computing Experience with Hadoop and cloud databases Additional Information About Epsilon Epsilon is a global advertising and marketing technology company positioned at the center of Publicis Groupe. Epsilon more »

Organizational, motivational, and interpersonal skills Additional, But Not Required Skills Spark libraries Scala programming Python programming SQL queries Experience with distributed computing Experience with Hadoop and cloud databases Additional Information About Epsilon Epsilon is a global advertising and marketing technology company positioned at the center of Publicis Groupe. Epsilon more »

Organizational, motivational, and interpersonal skills Additional, But Not Required Skills Spark libraries Scala programming Python programming SQL queries Experience with distributed computing Experience with Hadoop and cloud databases Additional Information About Epsilon Epsilon is a global advertising and marketing technology company positioned at the center of Publicis Groupe. Epsilon more »