26 to 50 of 118 Apache Hive Jobs in the UK

S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - Experience building large-scale, high-throughput, 24x7 data systems - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience providing technical leadership and mentoring other engineers for best practices on data engineering Our inclusive culture empowers Amazonians to deliver the best results for our customers. More ❯

SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala) - Experience with one or more scripting language (e.g., Python, KornShell) PREFERRED QUALIFICATIONS - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you More ❯

SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala) - Experience with one or more scripting language (e.g., Python, KornShell) PREFERRED QUALIFICATIONS - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you More ❯

tackle business problems. Comfort with rapid prototyping and disciplined software development processes. Experience with Python, ML libraries (e.g. spaCy, NumPy, SciPy, Transformers, etc.), data tools and technologies (Spark, Hadoop, Hive, Redshift, SQL), and toolkits for ML and deep learning (SparkML, Tensorflow, Keras). Demonstrated ability to work on multi-disciplinary teams with diverse skillsets. Deploying machine learning models and More ❯

and claim processing. GRAWE Creating a seamless UX to simplify skin cancer risk assessments and build user trust. SKINSCREENER Improving experience and making life simpler for home automation customers. HIVE Developing an intuitive online tool for exterior landscaping design. MEYER Bringing on-demand to the UK’s favourite TV listing and review platform. RADIO TIMES Reducing cost, accelerating innovation 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 ❯

MySQL, Hadoop, Postgres, etc.) Experience 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 (AWS, 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, Scheduling, Java, Python, SQL, Business. #J-18808-Ljbffr More ❯

and data science solutions that 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 technology counterparts running the application … Skills & Qualifications: Experience in an Application Support role. Hands-on experience in supporting applications built in Hadoop. Working knowledge of various components and technologies under Cloudera distribution like HDFS, Hive, Impala, Spark, YARN, Sentry, Oozie, Kafka. Experienced in Linux Very good knowledge on analyzing the bottlenecks on the cluster - performance tuning, effective resource usage, capacity planning, investigating. Perform daily More ❯

. Skilled Data Engineer for Cloud Data Lake activities. The candidate should have industry experience (preferably in Financial Services) in navigating enterprise Cloud applications using distributed computing frameworks as Apache Spark, Hadoop, Hive. Working knowledgeoptimizing database performance, scalability, ensuring data security and compliance. Education & Preferred Qualifications Bachelor's/Master's Degree in a Computer Science, Engineering or Math More ❯

with scripting languages like Python or KornShell. Knowledge of writing and optimizing SQL queries for large-scale, complex datasets. PREFERRED QUALIFICATIONS Experience with big data technologies such as Hadoop, Hive, Spark, EMR. Experience with ETL tools like Informatica, ODI, SSIS, BODI, or DataStage. We promote an inclusive culture that empowers Amazon employees to deliver the best results for our More ❯

Science, Engineering, or a related 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. Bonus • Experience working across the More ❯

Practical experience in coding languages eg. Python, R, Scala, etc. (Python preferred) Strong proficiency in database technologies eg. SQL, ETL, No-SQL, DW, and Big Data technologies eg. pySpark, Hive, etc. Experienced working with structured and unstructured data eg. Text, PDFs, jpgs, call recordings, video, etc. Knowledge of machine learning modelling techniques and how to fine-tune those models 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 ❯

analytics Practical experience in coding languages eg. Python, R, Scala, etc.; (Python preferred) Proficiency in database technologies eg. SQL, ETL, No-SQL, DW, and Big Data technologies e.g. pySpark, Hive, etc. Experienced working with structured and also unstructured data eg. Text, PDFs, jpgs, call recordings, video, etc. Knowledge of machine learning modelling techniques and how to fine-tune those 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 ❯

data quality improvement initiatives and proactively resolve data inconsistencies. · Participate in troubleshooting and performance tuning of ETL jobs and workflows. Required Skills & Qualifications: · Proven experience with Talend, Python, and Apache Spark. · Strong understanding of relational databases and Big Data ecosystems (Hive, Impala, HDFS). · Solid experience in data warehousing and data modelling techniques. · Familiarity with data quality management More ❯

. Languages/Frameworks JSON YAML Python (advanced, Pydantic experience a bonus) SQL PySpark Delta Lake Bash (CLI usage and scripting) Git Markdown Scala (bonus) Azure SQL Server as HIVE Metastore (bonus) Technologies Azure Databricks Apache Spark Delta Tables Data processing with Python PowerBI (Data Ingestion/Integration) JIRA If this role suits you, please submit your CV More ❯

ML/DL libraries like TensorFlow, PyTorch, or JAX. Knowledge of data analytics concepts, including data warehouse technical architectures, ETL and reporting/analytic tools and environments (such as Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce, Flume). Customer facing experience of discovery, assessment, execution, and operations. Demonstrated excellent communication, presentation, and problem solving skills. Experience in project More ❯

ML/DL libraries like TensorFlow, PyTorch, or JAX. Knowledge of data analytics concepts, including data warehouse technical architectures, ETL and reporting/analytic tools and environments (such as Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce, Flume). Customer facing experience of discovery, assessment, execution, and operations. Demonstrated excellent communication, presentation, and problem solving skills. Experience in project More ❯

ML/DL libraries like TensorFlow, PyTorch, or JAX. Knowledge of data analytics concepts, including data warehouse technical architectures, ETL and reporting/analytic tools and environments (such as Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce, Flume). Customer facing experience of discovery, assessment, execution, and operations. Demonstrated excellent communication, presentation, and problem solving skills. Experience in project More ❯

ML/DL libraries like TensorFlow, PyTorch, or JAX. Knowledge of data analytics concepts, including data warehouse technical architectures, ETL and reporting/analytic tools and environments (such as Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce, Flume). Customer facing experience of discovery, assessment, execution, and operations. Demonstrated excellent communication, presentation, and problem solving skills. Experience in project More ❯

ML/DL libraries like TensorFlow, PyTorch, or JAX. Knowledge of data analytics concepts, including data warehouse technical architectures, ETL and reporting/analytic tools and environments (such as Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce, Flume). Customer facing experience of discovery, assessment, execution, and operations. Demonstrated excellent communication, presentation, and problem solving skills. Experience in project More ❯

security. Strong Cloudera experience with expertise in Cloudera Data Platform (CDP), Cloudera Manager, and Cloudera Navigator . Strong knowledge of Hadoop ecosystem and related technologies such as HDFS, YARN, Hive, Impala, Spark, and Kafka . Strong AWS services/Architecture experience with hands-on expertise in cloud-based deployments (AWS, Azure, or GCP) . Strong Big Data experience , including More ❯

SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala) - Experience with one or more scripting language (e.g., Python, KornShell) PREFERRED QUALIFICATIONS - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience building data pipelines or automated ETL processes Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and More ❯

a technology company - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience operating large data warehouses - Bachelor's/Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent Amazon is an equal opportunities employer. More ❯