26 to 50 of 58 Apache Hive Jobs

including mappings, workflows, applications, transformations, and reusable components. Support the migration of data assets, ETL pipelines, and workloads from the Cloudera Hadoop platform (HDFS, Hive, Impala, Spark) to AWS Cloud. Design, develop, and optimise data ingestion, transformation, and loading processes into Amazon S3 Data Lake and Amazon Redshift. Develop ...

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 ...

experience in deploying and maintaining machine learning models in production environments·Processing massive amounts of structured and unstructured data using Spark/SQL/Hive·Familiar with offline (batch) and online (live/stream) data pipelines·Writing production code in Python·Understanding the full software development life-cycle (conduct ...

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 ...

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 ...

Streaming and batch data platforms that unlock data across Tripadvisor ETL pipelines and data models serving terabytes and growing datasets in Snowflake, BigQuery, and Hive, Orchestration, scheduling, and ETL generation tools to support cloud migrations and petabyte-scale operations, Tracking instrumentation, information architecture, and data governance tooling for business … Data Engineering & Data Products, ETLs Design, build, and maintain robust ETL/ELT data pipelines that process terabyte-scale data across Snowflake, BigQuery, Hive, and other platforms. Develop scalable, reusable data models and curated data sets for analytics, data science, CRM, machine learning, and other data consumers across ...

application components, microservices, and data integration layers to support high-throughput regulatory reporting. Big Data Processing: Develop and optimize distributed data processing jobs using Apache Spark, Hadoop, and Hive to aggregate and transform large-scale financial datasets. Real-Time Streaming: Build and maintain real-time data ingestion … streaming pipelines using Apache Kafka. Database Management: Design and optimize data models in MongoDB and relational databases, ensuring high performance for complex queries and data storage. Agile Execution: Drive sprint planning, task estimation, and daily progress within an Agile/Scrum framework to ensure timely delivery of project milestones. ...

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 ...

reconciliation. Experience with Business Intelligence tools such as Business Objects and Oracle relational databases. Familiarity with Big Data technologies and infrastructure such as Hadoop, Hive and Amazon Web Services. Familiarity with other tracking technologies such as MVT products, survey tools or session tracking tools. Awareness of CMS tools ...

architecture, design, and lifecycle management of enterprise Hadoop clusters and supporting data platform services. Leads administration of Hadoop ecosystem components such as HDFS, YARN, Hive, HBase, Spark, Kafka, Oozie, ZooKeeper, Impala , and related tooling. Defines platform standards for availability, performance, capacity planning, disaster recovery, backup, monitoring, and security. Drives ...

cloud data warehouse or data lake/lakehouse environments; 5) 4 years of experience working with big-data or distributed compute frameworks, including Apache Spark, Hadoop, or Hive, to process large-scale datasets; 6) 3 years of experience integrating and monitoring financial market datasets, including market data, reference ...

Elastic search and understanding of Hadoop ecosystem Experience working with large data sets, experience working with distributed computing tools like Map/Reduce, Hadoop, Hive, Pig etc. Advanced use of Excel spread sheets for analytical purposes MSc or PhD in Data Science or an analytical subject (Physics, Mathematics, Computing ...

Elastic search and understanding of Hadoop ecosystem Experience working with large data sets, experience working with distributed computing tools like Map/Reduce, Hadoop, Hive, Pig etc. Advanced use of Excel spread sheets for analytical purposes An MSc or PhD in Data Science or an analytical subject (Physics, Mathematics ...

required; experience with additional cloud providers is a plus. Demonstrated success leading initiatives involving complex data pipelines and analytics platforms utilizing technologies such as Hive, Spark, Presto, Cassandra, Hadoop, and ML/NLP capabilities. IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence ...

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 ...

critical business information across our organization.**The Platform:** You'll be supporting a modern Big Data platform built on industry-standard technologies including Hadoop, Hive, Impala, Spark, Kafka, and other open-source tools. This platform handles massive volumes of data daily, supporting analytics, reporting, and business-critical operations. … experience**Any Beneficial/Nice to have skills and experience:**• Experience specifically with **Cloudera** Hadoop distributions• Big Data knowledge - Hands-on experience with Hadoop, Hive, Spark, or similar distributed data platforms (or strong willingness to learn)• Familiarity with **monitoring tools** like Splunk, Grafana, or enterprise monitoring platforms• Knowledge ...

expertise spans a wide range of technologies, including Java and Python-based MicroServices, AWS/GCP cloud backend systems, Big Data technologies like Hive and Spark, and modern Web applications. With a globally distributed presence across the US, India and Europe, the team thrives on collaboration, bringing together diverse … based on business needs, entrepreneurial spiritExcellent verbal and written communication skillsBS or MS degree in Computer Science or equivalentExperience in distributed computing frameworks like - Hive/Hadoop, Apache SparkExperience in developing Finance or HR related applicationsExperience with following cloud services: AWS Elastic Beanstalk, EC2, S3, CloudFront, RDS, DynamoDB ...

expertise spans a wide range of technologies, including Java and Python-based MicroServices, AWS/GCP cloud backend systems, Big Data technologies like Hive and Spark, and modern Web applications. With a globally distributed presence across the US, India and Europe, the team thrives on collaboration, bringing together diverse … based on business needs, entrepreneurial spiritExcellent verbal and written communication skillsBS or MS degree in Computer Science or equivalentExperience in distributed computing frameworks like - Hive/Hadoop, Apache SparkExperience in developing Finance or HR related applicationsExperience with following cloud services: AWS Elastic Beanstalk, EC2, S3, CloudFront, RDS, DynamoDB ...

Citi is hiring a Big Data Applications Support Analyst to monitor and troubleshoot a large-scale data platform built on Hadoop, Hive, Spark, and Kafka. You will work with global teams to ensure 24/7 availability and data integrity for business reporting. Ideal candidates have strong Linux ...

Citi is hiring for a Support Engineer to join a global team maintaining a large-scale data platform built on Hadoop, Hive, Spark, Kafka, and related tools. The role supports 24/7 availability with a follow-the-sun model and cross-region collaboration to keep systems running smoothly. ...

kernel methods and deep learning. Responsibilities include translating business needs into technical requirements and leveraging distributed computing tools such as Map/Reduce, Hadoop, Hive and Pig. A MSc/PhD is advantageous. #J-18808-Ljbffr ...

into technical requirements and collaborating in a multi-disciplinary, highly technical environment. You'll work with Hadoop ecosystem tools such as Map/Reduce, Hive, Pig and Elasticsearch, leveraging Excel for analytical tasks, and hold an MSc/PhD or equivalent in a quantitative #J-18808-Ljbffr ...

platformsAdvanced Python and SQL skills, with experience in modern engineering practices such as CI/CD and TDDExperience with big data frameworks such as Apache Spark or similar technologiesSolid understanding of data modelling, data warehousing, OLTP and data lake architecturesExperience working with cloud ecosystems such as AWS, Azure … GCPFamiliarity with tools such as Kafka, Airflow, Hive, Delta, or similar technologiesStrong understanding of software engineering principles and production supportExperience with Linux, containerisation and enterprise scheduling toolsKnowledge of data governance, security and data privacy principles including GDPRConfident communicator, able to present complex technical concepts to varied audiencesA proactive, self ...

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). ...