1 to 25 of 36 Remote Apache Hive Jobs in England

learning frameworks (e.g., scikit-learn, 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 of delivering impactful data science More ❯

and tools, including experience with 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; a Master’s is a More ❯

effective communication skills to interact 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 Data Transformation DevOps - data pipelines More ❯

and well-tested solutions to 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 the growing demands of data … pipelines , data warehouses , and 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 made a demonstrable impact More ❯

and well-tested solutions to 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 the growing demands of data … pipelines , data warehouses , and 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 made a demonstrable impact More ❯

networks into production Experience with Docker Experience with NLP and/or computer vision Exposure to cloud technologies (eg. AWS and Azure) Exposure to Big data technologies Exposure to Apache products eg. Hive, Spark, Hadoop, NiFi Programming experience in other languages This is not an exhaustive list, and we are keen to hear from you even if you More ❯

networks into production Experience with Docker Experience with NLP and/or computer vision Exposure to cloud technologies (eg. AWS and Azure) Exposure to Big data technologies Exposure to Apache products eg. Hive, Spark, Hadoop, NiFi Programming experience in other languages This is not an exhaustive list, and we are keen to hear from you even if you More ❯

networks into production Experience with Docker Experience with NLP and/or computer vision Exposure to cloud technologies (eg. AWS and Azure) Exposure to Big data technologies Exposure to Apache products eg. Hive, Spark, Hadoop, NiFi Programming experience in other languages This is not an exhaustive list, and we are keen to hear from you even if you More ❯

networks into production Experience with Docker Experience with NLP and/or computer vision Exposure to cloud technologies (eg. AWS and Azure) Exposure to Big data technologies Exposure to Apache products eg. Hive, Spark, Hadoop, NiFi Programming experience in other languages This is not an exhaustive list, and we are keen to hear from you even if you More ❯

skills: Strong knowledge of Scala. 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. Knowledge of time-series or More ❯

Computing like Spark/KStreams/Kafka. Connect and Streaming Frameworks such as Kafka. Knowledge on Monolithic versus Microservice Architecture concepts for building large-scale applications. Familiar with the Apache suite including Hadoop modules such as HDFS, Yarn, HBase, Hive, Spark as well as Apache NiFi. Familiar with containerization and orchestration technologies such as Docker, Kubernetes. Familiar More ❯

working in Low latency applications Financial background preferable Spark expertise (micro batching, EOD/real time) Python In-memory databases SQL Skills & RDBMS concepts Linux Hadoop Ecosystem (HDFS, Impala, HIVE, HBASE, etc.) Python , R or equivalent scripting language(s) Excellent Excel Analysis skills Good understanding of Investment Banking data A history of delivering against agreed objectives Ability to multi More ❯

basic scripts; Pydantic experience would 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 ❯

Support: Support data science, machine 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 to provide actionable insights. Your … AWS cloud environments. - Familiarity with 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 AWS or other cloud platforms. … Support: Support data science, machine 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 to provide actionable insights. Your More ❯

Strong knowledge of LLM algorithms 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 AI innovation in financial services More ❯

Strong knowledge of LLM algorithms 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 AI innovation in financial services More ❯

beneficial. • Experience of providing third line support & working closely with application support, operations, and infrastructure teams for debugging & issue resolution. • Knowledge of Big Data platforms such as Spark, Scala, Hive, HDFS, Map Reduce, Yarn, HBASE, or Kafka is an advantage. Visa is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified More ❯

developers, it is useful to have experience in technologies including: ReactJS Data visualization and analytics software such as Tableau Git/version control Other big data technologies such as hive, hadoop, spark Hands on experience building data warehousing including ETL pipelines. Experience processing data from multiple heterogeneous sources. Ability to design complex data architectures for performant analytics. What Octaive More ❯

platforms such as AWS, Azure, or GCP · Documenting code, architectures, and experiments · Linux systems and bash terminals Preferred Qualifications o Databases and/or data warehousing technologies, such as Apache Hive, Iceberg etc. o Data transformation via SQL and DBT. o Orchestration platforms such as Apache Airflow, Argo Workflows, etc. o Data catalogs and metadata management tools … such as AWS, Azure, or GCP · Docker · Documenting code, architectures, and experiments · Linux systems and bash terminals Preferred Qualifications o Databases and/or data warehousing technologies, such as Apache Hive, Iceberg etc. o Data transformation via SQL and DBT. o Orchestration platforms such as Apache Airflow, Argo Workflows, etc. o Data catalogs and metadata management tools More ❯

such as AWS, Azure, or GCP · Docker · Documenting code, architectures, and experiments · Linux systems and bash terminals Preferred Qualifications o Databases and/or data warehousing technologies, such as Apache Hive, Iceberg etc. o Data transformation via SQL and DBT. o Orchestration platforms such as Apache Airflow, Argo Workflows, etc. o Data catalogs and metadata management tools More ❯

such as AWS, Azure, or GCP · Docker · Documenting code, architectures, and experiments · Linux systems and bash terminals Preferred Qualifications o Databases and/or data warehousing technologies, such as Apache Hive, Iceberg etc. o Data transformation via SQL and DBT. o Orchestration platforms such as Apache Airflow, Argo Workflows, etc. o Data catalogs and metadata management tools More ❯

such as AWS, Azure, or GCP · Docker · Documenting code, architectures, and experiments · Linux systems and bash terminals Preferred Qualifications o Databases and/or data warehousing technologies, such as Apache Hive, Iceberg etc. o Data transformation via SQL and DBT. o Orchestration platforms such as Apache Airflow, Argo Workflows, etc. o Data catalogs and metadata management tools More ❯

such as AWS, Azure, or GCP · Docker · Documenting code, architectures, and experiments · Linux systems and bash terminals Preferred Qualifications o Databases and/or data warehousing technologies, such as Apache Hive, Iceberg etc. o Data transformation via SQL and DBT. o Orchestration platforms such as Apache Airflow, Argo Workflows, etc. o Data catalogs and metadata management tools More ❯

such as AWS, Azure, or GCP · Docker · Documenting code, architectures, and experiments · Linux systems and bash terminals Preferred Qualifications o Databases and/or data warehousing technologies, such as Apache Hive, Iceberg etc. o Data transformation via SQL and DBT. o Orchestration platforms such as Apache Airflow, Argo Workflows, etc. o Data catalogs and metadata management tools More ❯

such as AWS, Azure, or GCP · Docker · Documenting code, architectures, and experiments · Linux systems and bash terminals Preferred Qualifications o Databases and/or data warehousing technologies, such as Apache Hive, Iceberg etc. o Data transformation via SQL and DBT. o Orchestration platforms such as Apache Airflow, Argo Workflows, etc. o Data catalogs and metadata management tools More ❯