14 of 14 Permanent Apache Hive Jobs in London

future needs of the department. This is an exciting opportunity to work on cutting edge technologies including Big Data and NoSQL databases (Hadoop, HBase, Hive, Spark and MongoDB) to allow the business to gain advanced insight into their portfolios and valuation metrics. Key responsibilities include:* Lead business requirements elicitation ...

software vendor, SaaS provider, or professional services organisation. Familiarity with Ataccama or similar enterprise data platforms. Exposure to Hadoop/Spark, NoSQL, XSLT, Hive, Kafka, Snowflake, or Databricks. Python or other programming languages. Familiarity with SDLC, code management and upgrades, and Unix/Linux. Perks & Benefits Long-Term Incentive ...

automation Strong Python development skills (including Pandas and related data-processing libraries). Experience with big data technologies such as Spark, PySpark, Hadoop, and Hive Exposure to quantitative modelling or financial modelling is a plus but not required. Skills that will help: Global Risk Management experience Benefits of working ...

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 also unstructured data eg. Text, PDFs, jpgs, call recordings, video, etc. Knowledge of machine learning modelling techniques ...

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 also unstructured data eg. Text, PDFs, jpgs, call recordings, video, etc. Knowledge of machine learning modelling techniques ...

generation of Big Data Analytics solutions tailored to our client needs. Development: Create MR1/YARN applications using Java, Scala, or Python. Additionally, develop Hive and Impala scripts. Project Leadership: Take charge of the end‐to‐end successful delivery of Information Management and analytics, specifically focusing on Big Data ...

Intelligence modeling techniques (logit, GLM, time series, random forests, clustering, XGBoost), statistical programming languages (SAS, R, Python, Matlab), big data tools and platforms (Hadoop, Hive, etc.) and cloud platforms (AWS, Azure, GCP). Solid academic record. Strong computer skills. Postgraduate studies and/or specialized courses are an asset ...

varying technical levels Preferred: Experience in supply optimisation, pricing, marketplace analytics, or a related domain Familiarity with big data querying tools such as Presto, Hive, BigQuery, or Hadoop Exposure to Bayesian methods, causal inference, or multi-armed bandit approaches Experience collaborating with Machine Learning Data Science teams to validate ...

varying technical levels Preferred: Experience in supply optimisation, pricing, marketplace analytics, or a related domain Familiarity with big data querying tools such as Presto, Hive, BigQuery, or Hadoop Exposure to Bayesian methods, causal inference, or multi-armed bandit approaches Experience collaborating with Machine Learning Data Science teams to validate ...

true SaaS, cloud-native environment. You will build and guide a team, collaborate with partners and delivery leads, and drive innovative data pipelines using Hive, Spark, and Hadoop across multiple cloud platforms. #J-18808-Ljbffr ...

experience working with or evaluating AI systems Experience in data applications using large scale distributed systems (e.g., EMR, Spark, Elasticsearch, Hadoop, Pig, and Hive) Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based ...

seaborn, plotly) and creating basic reports in BI tools like Tableau. General Machine Learning expertise. Familiarity with big data concepts or platforms (e.g., PySpark, Hive) for data extraction and manipulation. Experience with version control systems (e.g., Git) and MLOps principles. Exposure to containerisation concepts (e.g., Docker) or job scheduling ...

today are: unifying and normalising data into a relational store with proper versioning and lineage; polling an external API and landing it as a Hive-partitioned Parquet dataset; storing document blobs and their metadata via a document-management approach. There will be many more shapes; your … passionate and diverse team in an environment that values flexibility, collaboration, autonomy, and growth. Our culture is built on three principles: All for the Hive (shared leadership and collaboration), Shameless Ambition (raise the bar, speak directly), and Design the Future (think big, learn by doing, own it). ...

into scalable, reliable systems. We love contributing our work to open-source communities and have successfully done so with tools like Circus Train, a Hive dataset replication tool, and Waggle Dance, a federation service that allows access to data lake tables across multiple catalogs. Recently, we added Hive support to Apache Iceberg, a high-performance open table format for large analytic datasets that underpins many modern Lakehouse architectures. We guarantee you'll learn a lot and won't be bored! What you'll do Design, build, and evolve maintainable, scalable, testable, and observable software ...