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 »
their Regulatory Technology function and take ownership of a team building out a business-critical Trade Surveillance platform. The platform is underpinned by a Hadoop-based big data ecosystem and is used directly by both the Front and Back Office to monitor trades and check for any anomalous/… technology Previous Front End experience, preference being React, is highly beneficial but not essential Good understanding of big data or steaming technologies, such as Hadoop or Kafka A background in financial services (Investment Banking, Investment Management, Fintech) If the above sounds like your skill set and this sounds like more »
Azure SQL Data Warehouse, Azure Data Lake, AWS S3,AWS RDS,AWS Lambda or similar Have experience with Open Source big data products i.e. Hadoop Hive, Pig, Impala or similar Have experience with Open Source non-relational or NoSQL data repositories such as: MongoDB, Cassandra, Neo4J or similar Be more »
Azure SQL Data Warehouse, Azure Data Lake, AWS S3,AWS RDS,AWS Lambda or similar Have experience with Open Source big data products i.e. Hadoop Hive, Pig, Impala or similar Have experience with Open Source non-relational or NoSQL data repositories such as: MongoDB, Cassandra, Neo4J or similar Be more »
London, England, United Kingdom Hybrid / WFH Options
Anson McCade
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 »
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 »
Version 1 has celebrated over 26 years in the Technology industry and continues to be trusted by global brands to deliver IT solutions that drive customer success. Version 1 has several strategic technology partners including Microsoft, AWS, Oracle, Red Hat more »
Version 1 has celebrated over 26 years in the Technology industry and continues to be trusted by global brands to deliver IT solutions that drive customer success. Version 1 has several strategic technology partners including Microsoft, AWS, Oracle, Red Hat more »
Version 1 has celebrated over 26 years in the Technology industry and continues to be trusted by global brands to deliver IT solutions that drive customer success. Version 1 has several strategic technology partners including Microsoft, AWS, Oracle, Red Hat more »
Version 1 has celebrated over 26 years in the Technology industry and continues to be trusted by global brands to deliver IT solutions that drive customer success. Version 1 has several strategic technology partners including Microsoft, AWS, Oracle, Red Hat more »
Senior Vice President Data & AI London based We are searching for a Senior Vice President 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 more »
integration, transformation, and visualization capabilities. - Strong programming skills in Python, SQL, and other relevant languages. - Experience with big data technologies and tools such as Hadoop, Spark, and Kafka. - Familiarity with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes). - **Soft Skills:** - Excellent problem-solving and analytical skills. more »
modern data engineering technology stack compatible with AWS. Experience with web scraping and other data ingestion methods and tools. Knowledge of distributed computing frameworks (Hadoop, Spark, Hive, Presto). Experience with data orchestration tools (Airflow, Orchestra, Azkaban). Expertise in cloud data warehousing and core data modelling concepts. Proficiency more »
large-scale data science/data analytics projects Ability to lead effectively across organizations Hands-on experience with Data Analytics technologies such as AWS, Hadoop, Spark, Spark SQL, Mlib or Storm/Samza Implementing AWS services in a variety of distributed computing, enterprise environments Proficiency with at least one more »
modeling, data access, and data storage techniques. Excellent problem-solving skills and the ability to think algorithmically. Desirable Skills: Knowledge of big data technologies (Hadoop, Spark, Kafka) is highly desirable. Familiarity with data governance and compliance requirements. more »
as DBT, FiveTran, etc. Understanding of Agile Delivery best practice Good knowledge of the relevant technologies e.g. SQL, Oracle, PostgreSQL, Python, ETL pipelines, Airflow, Hadoop, Parquet. Strong problem-solving and analytical abilities. Ability to present solutions and limitations to non-IT business experts ABOUT YOU Integrity, respect, intellectually curious 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 »
Surrey, England, United Kingdom Hybrid / WFH Options
The JM Longbridge Group
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. Qualifications : Bachelor’s degree in computer science, Engineering, or related field (or equivalent experience). Experience with cloud more »
/CD. Strong design and coding skills (e.g. Python, Scala, JavaScript). Experience with Microsoft or AWS data stack e.g. Microsoft Azure Data Lake, Hadoop (preferably with Spark), Cosmos DB, HDInsight/HBase, MongoDB, Redis, Azure Table/Blob stores etc. Exposure to tools like SAP technologies and Alteryx more »
manage multiple tasks and projects simultaneously. Preferred Qualifications AWS Certified Solutions Architect or other relevant AWS certifications. Experience with big data technologies such as Hadoop, Spark, or similar. Knowledge of data governance and data quality best practices. Familiarity with machine learning and AI concepts and tools. more »
ideas • Ability to set the direction and deliver on a vision with forward planning to achieve results • Technical knowledge of big data platforms (e.g., Hadoop and Hive) as well as knowledge of ML, Data science and advanced modelling techniques, technologies, and programming languages • Possess a high degree of self more »
Experience of Data Lake/Hadoop platform implementation Hands-on experience in implementation and performance tuning Hadoop/Spark implementations Experience ApacheHadoop and the Hadoop ecosystem Experience with one or more relevant tools (Sqoop, Flume, Kafka, Oozie, Hue, Zookeeper, Hcatalog, Solr, Avro) Experience with one … or more SQL-on-Hadoop technology (Hive, Impala, Spark SQL, Presto) Experience developing software code in one or more programming languages (Java, Python, etc.) Preferred Qualifications Masters or PhD in Computer Science, Physics, Engineering or Math Hands on experience leading large-scale global data warehousing and analytics projects Ability more »
Red Hat Decision Central Key Responsibilities: 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 About Capgemini Capgemini is a global leader in partnering with companies to transform and more »
HAVE SC CLEARANCE a. Overall 5-7 Years of IT experience b. Strong experience to Dev-Ops principles c. Strong experience in Spark, Tableau , Hadoop, PL/SQL d. Good experience working with AWS platform e. Good exposure of ITIL processes which includes incident, problem, change management etc. f. more »
