1 to 25 of 32 Remote Apache Hive Jobs in the UK

and migration of these data warehouses to modern cloud data platforms. Deep understanding and hands-on experience with big data technologies like Hadoop, HDFS, Hive, Spark and cloud data platform services. Proven track record of designing and implementing large-scale data architectures in complex environments. CICD/DevOps experience More ❯

CI/CD pipelines, containerisation, and workflow orchestration. Familiar with ETL/ELT frameworks, and experienced with Big Data Processing Tools (e.g. Spark, Airflow, Hive, etc.) Knowledge of programming languages (e.g. Java, Python, SQL) Hands-on experience with SQL/NoSQL database design Degree in STEM, or similar field More ❯

TensorFlow, XGBoost, PyTorch). Strong foundation in statistics, probability, and hypothesis testing. Experience with cloud platforms (AWS, GCP, Azure) and big data tools (Spark, Hive, Databricks, etc.) is a plus. Excellent communication and storytelling skills with the ability to explain complex concepts to non-technical stakeholders. Proven track record More ❯

with team members, stakeholders and end users conveying technical concepts in a comprehensible manner Skills across the following data competencies: SQL (AWS Athena/Hive/Snowflake) Hadoop/EMR/Spark/Scala Data structures (tables, views, stored procedures) Data Modelling - star/snowflake Schemas, efficient storage, normalisation More ❯

field. • 3+ experience as a Software Engineer with a strong focus on Data work. • Strong proficiency in leading big data technologies (e.g., Hadoop, Spark, Hive). • Familiarity with data warehousing solutions (e.g., Redshift, BigQuery, Snowflake). • Strong problem-solving skills and attention to detail. • Excellent communication and collaboration skills. More ❯

C#) and willingness to interact with them where necessary. Exposure to Cloudera Data Platform or similar big data environments. Experience with tools such as Apache Hive, NiFi, Airflow, Azure Blob Storage, and RabbitMQ. Background in investment management or broader financial services, or a strong willingness to learn the More ❯

and training techniques . Experience deploying models in production environments. Nice to Have: Experience in GenAI/LLMs Familiarity with distributed computing tools (Hadoop, Hive, Spark). Background in banking, risk management, or capital markets . Why Join? This is a unique opportunity to work at the forefront of More ❯

and training techniques . Experience deploying models in production environments. Nice to Have: Experience in GenAI/LLMs Familiarity with distributed computing tools (Hadoop, Hive, Spark). Background in banking, risk management, or capital markets . Why Join? This is a unique opportunity to work at the forefront of More ❯

and training techniques . Experience deploying models in production environments. Nice to Have: Experience in GenAI/LLMs Familiarity with distributed computing tools (Hadoop, Hive, Spark). Background in banking, risk management, or capital markets . Why Join? This is a unique opportunity to work at the forefront of More ❯

onshore and offshore resources. Key Skills Required: Experience with a combination of cloud-based big data technologies (e.g. HDFS, Blob Storage, Spark, Kafka, Delta, Hive, Airflow, and DBT) and OLTP and Data Warehousing – within SQL Server or other RDBMS’s. Familiarity with Lake House Architecture and Databricks. Extensive data More ❯

solutions such as Spark, Big Data Technologies would be preferred but not mandatory. Knowledge of Big Data querying tools (Cloudera stack or similar) e.g. Hive or Impala would be preferred but not mandatory. Experience working on parallel development tracks at the same time is required Experience in leading smaller More ❯

C#) and willingness to interact with them where necessary. Exposure to Cloudera Data Platform or similar big data environments. Experience with tools such as Apache Hive, NiFi, Airflow, Azure Blob Storage, and RabbitMQ. Background in investment management or broader financial services, or a strong willingness to learn the More ❯

C#) and willingness to interact with them where necessary. Exposure to Cloudera Data Platform or similar big data environments. Experience with tools such as Apache Hive, NiFi, Airflow, Azure Blob Storage, and RabbitMQ. Background in investment management or broader financial services, or a strong willingness to learn the More ❯

numpy, matplotlib, seaborn) for exploratory data analysis and data visualization. Big plus is practical familiarity with the big data stack (Spark, Presto/Athena, Hive). You have experience with BI tools (e.g., Looker, Tableau, Google Data Studio) to create compelling visual representations of data. You have excellent communication More ❯

matplotlib, seaborn) for exploratory data analysis and data visualization. A big plus is practical familiarity with the big data stack (Spark, Presto/Athena, Hive). You have experience with BI tools (e.g., Looker, Tableau, Google Data Studio) to create compelling visual representations of data. You have excellent communication More ❯

or SaaS products and a good understanding of Digital Marketing and Marketing Technologies. Have experience working with Big Data technologies (such as Hadoop, MapReduce, Hive/Pig, Cassandra, MongoDB, etc) An understanding of web technologies such as Javascript, node.js and html. Some level of understanding or experience in AI More ❯

analytical and quantitative skills; Data driven and results-oriented Experience with Core Java required (Spark a plus) Experience with SQL Experience working with Hadoop, Hive, Sqoop and other technologies in Cloudera's CDP distribution. Understanding of version control (git) Experience working as part of an agile team. Excellent written … and oral communication skills Technical Skills: Strong knowledge in Java Some knowledge inHadoop, hive, SQL, Spark Understanding of Unix Shell Scripting CI/CD Pipeline Maven or Gradle experience Predictive analytics (desirable) PySpark (desirable) Trade Surveillance domain knowledge (desirable) Education: Bachelor’s/University degree or equivalent experience What 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 ❯

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 ❯

Familiarity with distributed computing frameworks such as Spark, KStreams, Kafka. Experience with Kafka and streaming frameworks. Understanding of monolithic vs. microservice architectures. Familiarity with Apache ecosystem including Hadoop modules (HDFS, YARN, HBase, Hive, Spark) and Apache NiFi. Experience with containerization and orchestration tools like Docker and Kubernetes. 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 ❯

are Accurate, Reliable, Relevant, Consistent, Complete, Scalable, Timely, Secure, Nimble. Olympus is built on Big data platform and technologies under Cloudera distribution like HDFS, Hive, Impala, Spark, YARN, Sentry, Oozie, Kafka. Our team interfaces with a vast client base and works in close partnership with Operations, Development and other … practices, and escalating, managing and reporting control issues with transparency. Skills & Qualifications: Working knowledge of various components and technologies under Cloudera distribution like HDFS, Hive, Impala, Spark, YARN, Sentry, Oozie, Kafka. Very good knowledge on analyzing the bottlenecks on the cluster - performance tuning, effective resource usage, capacity planning, investigating. 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 ❯

in data modelling (Data Warehouse, Marts) Job Scheduling toolset (Job Scheduler, TWS, etc.) Programming and scripting languages (PL/SQL, SQL, Unix, Java, Python, Hive, HiveQL, HDFS, Impala, etc.) Good to have: Data virtualisation tools (Denodo) Reporting (Pentaho BA, Power BI, Business Objects) Data Analytics toolset (SAS Viya) Cloud … Azure, GCP) ALM Tooling (Jira, Confluence, Bitbucket) CI/CD toolsets (Gitlab, Jenkins, Ansible) CVs to Nick ASAP for immediate review. Required Skills: Informatica, Hive, Data Quality Objects, CVS, Hadoop, SAS, Ansible, Bitbucket, Gitlab, PL/SQL, Data Analytics, Confluence, Unix, Power BI, Jenkins, Analytics, Programming, Oracle, JIRA, MySQL More ❯