126 to 150 of 153 Hadoop Jobs

Director of Data & AI London based We are searching for a Director of Data and Artificial Intelligence- someone with hands on experience designing AI solutions to solve complex business problems. Your new role is a leadership position at a business more »

leadership experience in delivering complex, time-sensitive enterprise initiatives across organizational boundaries 5+ years of Engineering leadership experience in big data technologies such as Hadoop, Spark, Kafka, Databricks, or similar distributed computing frameworks and NoSQL databases. 5+ years of technical leadership experience in data modeling, data warehousing, and enterprise more »

AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. more »

AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. more »

AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. more »

AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. more »

AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. more »

AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. more »

Data & Analytics Platform Architect (Spark, Kafka, Cloudera, Hadoop Ecosystem, Data Warehouse, Analytics) We are seeking a highly skilled and experienced Data & Analytics Platform Architect to join our Data & Analytics team. As the Platform Architect, you will take ownership of our expanding Data Platform architecture and ensure that our solutions … health, and future-proof architecture of our Data & Analytics Platform. Currently, our platform consists of Teradata as the main Data Warehouse, Cloudera and the Hadoop ecosystem (Spark, Ni-Fi, Kafka, etc.) as the Big Data platform, and Qlik as the reporting software. Your Responsibilities Provide strong functional and technical … the public cloud. Coach the development team in relevant areas. Your skills Extensive expertise in modern Data Platforms, particularly focusing on the Big Data Hadoop ecosystem and Massive Parallel Processing data warehouses. In-depth understanding of the capabilities and specificities of Public Cloud platforms such as Azure, AWS, and 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 »

requirements into system functional and non-functional requirements Experience with popular database programming languages including SQL, PL/SQL, possibly extending to NoSQL/Hadoop oriented, and nonrelational databases. In your supporting statement, it is important that you address how you meet each of the above criteria providing real more »

Senior Software Engineer - Data Initial 6-month contract role Remote Working £525 - £625, Inside IR35 We're recruiting on behalf of an IT Services Provider for a Senior Software Engineer (Data) to design and develop modern data management tools. As more »

your key responsibilities will be to : Manage operational procedures. Transform and process data using Apache Spark. Administer AWS RDS with MySQL. Work with the Hadoop platform. Create reports using Tableau. Utilize Red Hat Decision Central Skills/Experience Required of the SC Cleared DevSecOps Engineer: Strong operational procedures knowledge. more »

following: .NET (VB, C#, ASP.NET, .NET CORE) MVC Framework Python JavaScript (REACT, Bootstrap Frameworks) Database design SQL/SQL Server NoSQL technologies e.g., MongoDB, Hadoop, etc. If you’re the right person for the role, you’ll bring experience of working on a range of applications across the development more »

PostgreSQL), NoSQL databases (e.g., M 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. Qualifications: - Bachelor's Degree in Computer Science or Engineering. - Experience with cloud technologies, particularly Azure and AWS. - Proficiency 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 »

ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. more »

ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. 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 »

Glue, AWS Redshift, and Python Experience with ETL processes, data integration, and data warehousing. Strong SQL skills Experience with Big Data technologies such as Hadoop, Spark, and Kafka Familiarity with cloud platforms (AWS, Azure, Google Cloud) Working knowledge of data visualisation tools (PowerBI, Tableau, Qlik Sense) Additional Skills: Client more »

to translate business requirements into high and low-level designs. You'll also define architecture and technical designs, create data flows and integrations using Hadoop, and work closely with product teams throughout testing. Key Responsibilities: Lead Java and Python project development. Design and develop API integrations using Spark. Collaborate … client teams. Stay updated with the latest trends and best practices. Qualifications: Expertise in Java and Python development (Essential). Experience with Spark or Hadoop (Essential). Knowledge of Trino or Airflow (Desirable). Proven ability to design and implement scalable and secure solutions. Excellent communication and collaboration skills. 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 »

in computer science, Mathematics, Statistics or similar engineering discipline. Working knowledge of Linux. Knowledge of network protocols and operation. Data analysis and visualization in Hadoop, Splunk. Data manipulation using tools like MapReduce or SQL. Experience with network security products and solutions. HTML, CSS and JavaScript experience. Python. Ifyou are more »