76 to 100 of 101 Apache Hive Jobs in London

Required Qualifications SQL (BigQuery and PostgreSQL) proficiency and Python programming skills Experience with Google Cloud Platform Experience with big data warehouse systems (Google BigQuery, Apache Hive, etc) Hands on experience working with machine learning teams; understanding of the core concepts of model evaluation techniques and metrics, and suitable More ❯

Required Qualifications SQL (BigQuery and PostgreSQL) proficiency and Python programming skills Experience with Google Cloud Platform Experience with big data warehouse systems (Google BigQuery, Apache Hive, etc) Hands on experience working with machine learning teams; understanding of the core concepts of model evaluation techniques and metrics, and suitable More ❯

techniques (logit, GLM, time series, decision trees, random forests, clustering), statistical programming languages (SAS, R, Python, Matlab), and big data tools/platforms (Hadoop, Hive, etc.) is desirable. Solid academic record. Strong computer skills. Knowledge of other languages is a plus. Get-up-and-go attitude, maturity, responsibility, and More ❯

of customers or have started a new line of product. Experience with Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Hive/Spark. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the More ❯

for our internal customers to access and query the data hundreds of thousands of times per day, using Amazon Web Service's (AWS) Redshift, Hive, Spark. We build scalable solutions that grow with the Amazon business. BDT team is building an enterprise-wide Big Data Marketplace leveraging AWS technologies. More ❯

automate data ingestion, transformation, and orchestration across systems. Own data operations infrastructure: Manage and optimise key data infrastructure components within AWS, including Amazon Redshift, Apache Airflow for workflow orchestration and other analytical tools. You will be responsible for ensuring the performance, reliability, and scalability of these systems to meet … AWS data services . Strong proficiency in DataOps methodologies and tools, including experience with CI/CD pipelines, containerized applications , and workflow orchestration using Apache Airflow . Familiar with ETL frameworks, and bonus experience with Big Data processing (Spark, Hive, Trino), and data streaming. Proven track record - You More ❯

presentation, and interpersonal skills. Experience working across cross-functional teams. Experience managing competing priorities and simultaneous projects. Preferred Qualifications Experience in SQL (Oracle, Vertica, Hive, MySQL, etc.). Experience in Identity and Access Management operations. Practical experience of understanding and interest in current and emerging technologies demonstrated through training More ❯

automate data ingestion, transformation, and orchestration across systems. Own data operations infrastructure: Manage and optimise key data infrastructure components within AWS, including Amazon Redshift, Apache Airflow for workflow orchestration, and other analytical tools. You will be responsible for ensuring the performance, reliability, and scalability of these systems to meet … leveraging AWS data services. Strong proficiency in DataOps methodologies and tools, including experience with CI/CD pipelines, containerized applications, and workflow orchestration using Apache Airflow. Familiar with ETL frameworks, and bonus experience with Big Data processing (Spark, Hive, Trino), and data streaming. Proven track record – You’ve More ❯

factor app development standards Experience building modern enterprise applications and deploying to public or private clouds including AWS Experience in distributed cache systems like Apache Ignite or Redis Experience in big data platforms and technologies such as Hadoop, Hive, HDFS, Presto/Starburst, Spark, and Kafka Experience in More ❯

forensics, log analysis) Experience interpreting information from multiple sources and working with data sets Knowledge with database tools/systems such as Hbase, SQL, Hive Query Language Preferred Qualifications Coding proficiency in Python, PHP, and/or C++, or similar high level languages About Meta Meta builds technologies that More ❯

Associate Director, Data Science and Innovation Are you a data science leader passionate about leveraging AI and machine learning to drive innovation in financial markets and transaction banking? Standard Chartered Bank is on an ambitious journey to embed cutting-edge More ❯

Join to apply for the Big Data & Cloud Consultant - London, UK role at Infosys Job Description Role - Lead Consultant Technology – Big Data & Cloud -Hadoop, Hive, Spark, Cloud, Python, SQL with Banking domain Location – United Kingdom Compensation – Competitive (including bonus) Job Description Today, the corporate landscape is dynamic and the … to shape value-adding consulting solutions that enable our clients to meet the changing needs of the global landscape. Required Big Data & Cloud -Hadoop, Hive, Spark Strong experience in Python, SQL with Banking domain, such as in financial managing risk and strengthening controls supporting control and governance agenda, payments More ❯

be a bonus) SQL PySpark Delta Lake Bash (both CLI usage and scripting) Git Markdown Scala (bonus, not compulsory) Azure SQL Server as a HIVE Metastore (bonus) Technologies: Azure Databricks Apache Spark Delta Tables Data processing with Python PowerBI (Integration/Data Ingestion) JIRA #J-18808-Ljbffr More ❯

of Data Mining, Classical Machine Learning, Deep Learning, NLP and Computer Vision. Experience with Large Scale/Big Data technology, such as Hadoop, Spark, Hive, Impala, PrestoDb. Hands-on capability developing ML models using open-source frameworks in Python and R and applying them on real client use cases. … Proficient in one of the deep learning stacks such as PyTorch or Tensorflow. Working knowledge of parallelisation and async paradigms in Python, Spark, Dask, Apache Ray. An awareness and interest in economic, financial and general business concepts and terminology. Excellent written and verbal command of English. Strong problem-solving More ❯

Job description Role - Lead Consultant Technology - Big Data & Cloud - Hadoop, Hive, Spark, Cloud, Python, SQL with Banking domain Location - United Kingdom Compensation - Competitive (including bonus) Job Description Today, the corporate landscape is dynamic and the world ahead is full of possibilities! None of the amazing things we do at … to shape value-adding consulting solutions that enable our clients to meet the changing needs of the global landscape. Required Big Data & Cloud - Hadoop, Hive, Spark Strong experience in Python, SQL with Banking domain, such as in financial managing risk and strengthening controls supporting control and governance agenda, payments More ❯

languages and carrying out data analysis and hypothesis testing - Advanced SQL OR Python. Experience with big data technologies and data platforms - we use BigQuery, Apache Ibis, SQLGlot, DBT. You might have experience with Hadoop, Hive, Redshift, Snowflake, Spark or similar. Experience with Version control/CI/CD More ❯

learning, and AI workloads using tools like Jupyter, Spacy, Transformers, and NLTK. Big Data Platforms: Utilize big data NoSQL engines and platforms such as Hive, Impala, and Elasticsearch for data storage and processing. BI and Visualization: Implement and support business intelligence and visualization tools like Tableau, Kibana, and PowerBI … data science, machine learning, and AI tools such as Jupyter, Spacy, Transformers, and NLTK. Experience with big data NoSQL engines/platforms such as Hive, Impala, and Elasticsearch. Proficiency with business intelligence and visualization tools like Tableau, Kibana, and PowerBI. Excellent communication and collaboration skills. Preferred Experience: Certification in More ❯

Social network you want to login/join with: Software Development Engineer, Data, London col-narrow-left Client: Autodesk Location: London, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Reference: 61079ee17325 Job Views: 5 More ❯

learning, and AI workloads using tools like Jupyter, Spacy, Transformers, and NLTK. Big Data Platforms: Utilize big data NoSQL engines and platforms such as Hive, Impala, and Elasticsearch for data storage and processing BI and Visualization: Implement and support business intelligence and visualization tools like Tableau, Kibana, and PowerBI … data science, machine learning, and AI tools such as Jupyter, Spacy, Transformers, and NLTK. Experience with big data NoSQL engines/platforms such as Hive, Impala, and Elasticsearch. Proficiency with business intelligence and visualization tools like Tableau, Kibana, and PowerBI. Excellent communication and collaboration skills. Preferred Qualifications: Certification in More ❯

Business Research Analyst - II, RBS Tech As a Research Analyst, you'll collaborate with experts to develop cutting-edge ML and Gen AI/LLM solutions for business needs. You'll drive product pilots, demonstrating innovative thinking and customer focus. More ❯

Business Intel Engineer-II, RBS Storewalk As a Research Analyst (RA), you'll collaborate with experts to develop ML solutions for business needs. You'll drive product pilots, demonstrating innovative thinking and customer focus. You'll build scalable solutions, write More ❯

and Solution Architect teams to design the overall solution architecture for end-to-end data flows. Utilize big data technologies such as Cloudera, Hue, Hive, HDFS, and Spark for data processing and storage. Ensure smooth data management for marketing consent and master data management (MDM) systems. Key Skills and … delivery for streamlined development workflows. Azure Data Factory/DataBricks : Experience with these services is a plus for handling complex data processes. Cloudera (Hue, Hive, HDFS, Spark) : Experience with these big data tools is highly desirable for data processing. Azure DevOps, Vault : Core skills for working in Azure cloud More ❯

Amazon Selection Monitoring Team Job Description Amazon’s Selection Monitoring team is responsible for expanding the largest catalog on the planet. Our systems process billions of products to algorithmically identify products not yet sold on Amazon and programmatically add them More ❯

We are seeking a specialist Kotlin Developer with experience working on Big Data projects in a high-performance environment. We're working with banks and other major financial institutions on projects where microseconds count. Essential functions You will build and More ❯

member of an agile feature team. Help maintain code quality via code reviews. Skill Requirements Proficiency in administrating Big Data technologies (Hadoop, HDFS, Spark, Hive, Yarn, Oozie, Kafka, HBase, Apache stack). Proficiency in defining highly scalable platform architecture. Knowledge of architectural design patterns, highly optimized, low latency More ❯