126 to 150 of 207 Permanent Hadoop Jobs

such as Java, TypeScript, Python, and Go Web libraries and frameworks such as React and Angular Designing, building, and maintaining CI/CD pipelines Big data technologies like NiFi, Hadoop, Spark Cloud and containerization technologies such as AWS, OpenShift, Kubernetes, Docker DevOps methodologies, including infrastructure as code and GitOps Database technologies, e.g., relational databases, Elasticsearch, MongoDB Why join Gemba More ❯

of streaming documents weekly. Skills and Proficiencies: • Strong understanding of data lake architectures and streaming data environments. • Familiarity with distributed storage systems (e.g., Cloudera) and compute frameworks (e.g., Spark, Hadoop). • Experience with MLOps processes and tools for model deployment, monitoring, and retraining. • Proficient in SQL/NoSQL and languages like R or Python for algorithm development. • Visualization expertise More ❯

as Java, TypeScript, Python, and Go Web libraries and frameworks such as React and Angular Designing, building, and maintaining CI/CD pipelines Big data technologies, such as NiFi, Hadoop, Spark Cloud and containerization technologies such as AWS, OpenShift, Kubernetes, Docker DevOps methodologies, such as infrastructure as code and GitOps Database technologies, e.g. relational databases, Elasticsearch, Mongo Why join More ❯

Extensive knowledge of and experience with large-scale database technology (e.g. Oracle, Teradata, Netezza, Greenplum, etc.) Experience with non-relational platforms and tools for large-scale data processing (e.g. Hadoop, HBase) Familiarity and experience with common data integration and data transformation tools (e.g. Informatica, DataStage, Talend, Matillion) Familiarity and experience with common BI and data exploration tools (e.g. Microstrategy More ❯

expertise and technical acumen to ensure successful delivery of complex data projects on time and within budget. Key Responsibilities: Project Management: Lead and manage legacy data platform migration (Teradata, Hadoop), data lake build, and data analytics projects from initiation to completion. Develop comprehensive project plans, including scope, timelines, resource allocation, and budgets. Monitor project progress, identify risks, and implement More ❯

home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS - 7+ years of technical specialist, design and architecture experience - 3+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience - 7+ years of consulting, design and implementation of serverless distributed solutions experience - 3+ years of software development with object oriented language experience - 3+ years of More ❯

to implement them through libraries. Experience with programming, ideally Python, and the ability to quickly pick up handling large data volumes with modern data processing tools, e.g. by using Hadoop/Spark/SQL Experience with or ability to quickly learn open-source software including machine learning packages, such as Pandas, scikit-learn, along with data visualisation technologies. Experience More ❯

/product management environmenta Relevant experience within core java and spark Experience in systems analysis and programming of java applications Experience using big data technologies (e.g. Java Spark, hive, Hadoop) Ability to manage multiple/competing priorities and manage deadlines or unexpected changes in expectations or requirements Prior financial services/trade surveillance experience is desirable Strong analytical and More ❯

Automation & Configuration Management Ansible (plus Puppet, SaltStack), Terraform, CloudFormation; Programming Languages and Frameworks Node.js, React/Material-UI (plus Angular), Python, JavaScript; Big Data Processing and Analysis e.g., Apache Hadoop (CDH), Apache Spark; Operating Systems Red Hat Enterprise Linux, CentOS, Debian, or Ubuntu. More ❯

and CI/CD paradigms and systems such as: Ansible, Terraform, Jenkins, Bamboo, Concourse etc. Observability - SRE Big Data solutions (ecosystems) and technologies such as: Apache Spark and the Hadoop Ecosystem Excellent knowledge of YAML or similar languages The following Technical Skills & Experience would be desirable: Jupyter Hub Awareness RabbitMQ or other common queue technology e.g. ActiveMQ NiFi Rego More ❯

users or large data sets with 10M+ database records. This is a very Big Data platform. Experience building REST services (orchestration layer) on CRUD data services based on Cloudera Hadoop stack, with an emphasis on performance optimization. Understanding how to secure data in a REST architecture. Knowledge of scaling web applications, including load balancing, caching, indexing, normalization, etc. Proficiency … in Java/Spring web application development. Experience with Test Driven Development and Agile methodologies; Behavior Driven Development is a plus. Knowledge of Hadoop, Big Data, Hive, Pig, NoSQL is a plus, though most engineers with this background may have limited REST experience. Additional Information All your information will be kept confidential according to EEO guidelines. Direct Staffing Inc More ❯

native tech stack in designing and building data & AI solutions Experience with data modeling, ETL processes, and data warehousing Knowledge of big data tools and frameworks such as Spark, Hadoop, or Kafka More ❯

Growth Revenue Management, Marketing Analytics, CLM/CRM Analytics and/or Risk Analytics. Conduct analyses in typical analytical tools ranging from SAS, SPSS, Eviews, R, Python, SQL, Teradata, Hadoop, Access, Excel, etc. Communicate analyses via compelling presentations. Solve problems, disaggregate issues, develop hypotheses and develop actionable recommendations from data and analysis. Prepare and facilitating workshops. Manage stakeholders and … An ability to think analytically, decompose problem sets, develop hypotheses and recommendations from data analysis. Strong technical skills regarding data analysis, statistics, and programming. Strong working knowledge of, Python, Hadoop, SQL, and/or R. Working knowledge of Python data tools (e.g. Jupyter, Pandas, Scikit-Learn, Matplotlib). Ability to talk the language of statistics, finance, and economics a More ❯

Data Scientist - skills in statistics, physics, mathematics, Computer Science, Engineering, Data Mining, Big Data (Hadoop, Hive, MapReduce) This is an exceptional opportunity to work as a Data Scientist within a global analytics team, utilizing various big data technologies to develop complex behavioral models, analyze customer uptake of products, and foster new product innovation. Responsibilities include: Generating and reviewing large More ❯

real-time intelligence, BI, Copilot), Azure Databricks, Purview Data Governance, and Azure Databases: SQL DB, Cosmos DB, PostgreSQL. Maintain and grow expertise in on-prem EDW (Teradata, Netezza, Exadata), Hadoop & BI solutions. Represent Microsoft through thought leadership in cloud Database & Analytics communities and customer forums. Qualifications Proven technical pre-sales or technical consulting experience. OR Bachelor's Degree in More ❯

the Scrum methodology to plan and execute tasks within the project Program Increment strategy Software development includes use of Python, Java and various shell scripting activities Use of Spark, Hadoop, HUDI technologies software architectures and frameworks Deploy Cloud infrastructure using AWS C2S available services in the IDL VPC boundaries. (Many services are deployed using a serverless architecture like Lambda More ❯

programming languages such as SQL, Java, Python, and/or Ruby Knowledge of virtual networks and general network management functions Cloud database management skills and knowledge of MySQL and Hadoop Technical Responsibilities: Support working and integrating open-source frameworks/products, experience deploying various open-source packages and/or application stacks into the Customer's production landscape, multi More ❯

Three Days in the office Responsibilities: Develop and implement machine learning models using Spark ML for predictive analytics. Design and optimize training and inference pipelines for distributed systems (e.g., Hadoop). Process and analyze large-scale datasets to extract meaningful insights and features. Collaborate with data engineers to ensure seamless integration of ML workflows with data pipelines. Evaluate model … Required Skills: Proficiency in Apache Spark and Spark MLlib for machine learning tasks. Strong understanding of predictive modeling techniques (e.g., regression, classification, clustering). Experience with distributed systems like Hadoop for data storage and processing. Proficiency in Python, Scala, or Java for ML development. Familiarity with data preprocessing techniques and feature engineering. Knowledge of model evaluation metrics and techniques. More ❯

Three Days in the office Responsibilities: Develop and implement machine learning models using Spark ML for predictive analytics. Design and optimize training and inference pipelines for distributed systems (e.g., Hadoop). Process and analyze large-scale datasets to extract meaningful insights and features. Collaborate with data engineers to ensure seamless integration of ML workflows with data pipelines. Evaluate model … Required Skills: Proficiency in Apache Spark and Spark MLlib for machine learning tasks. Strong understanding of predictive modeling techniques (e.g., regression, classification, clustering). Experience with distributed systems like Hadoop for data storage and processing. Proficiency in Python, Scala, or Java for ML development. Familiarity with data preprocessing techniques and feature engineering. Knowledge of model evaluation metrics and techniques. More ❯

Analytic exposure is a big plus. Java is a must, but these will strengthen your case: Data Analytic development experience Agile development experience Familiarity with/interest in Apache Hadoop MapReduce Python experience AWS Lambdas experience Jira experience Confluence experience Gitlab experience Exposure or experience with NiFi Willingness/desire to work on high visibility tasking Willingness/ability More ❯

NN, Naive Bayes, Random Forests, etc. - Experience with common data science toolkits, such as Python - Proficiency in using query languages such as SQL on a big data platform e.g. Hadoop, Hive - Good applied statistics skills, such as distributions, statistical testing, regression, etc. - Good scripting and programming skills It would be desirable for the successful candidate to come from a More ❯

NN, Naive Bayes, Random Forests, etc. – Experience with common data science toolkits, such as Python – Proficiency in using query languages such as SQL on a big data platform e.g. Hadoop, Hive – Good applied statistics skills, such as distributions, statistical testing, regression, etc. – Good scripting and programming skills It would be desirable for the successful candidate to come from a More ❯

Must Have Hive/SQL - Must Have Job Description : Scala/Spark • Good Big Data resource with the below Skillset: § Spark § Scala § Hive/HDFS/HQL • Linux Based Hadoop Ecosystem (HDFS, Impala, Hive, HBase, etc.) • Experience in Big data technologies , real time data processing platform(Spark Streaming) experience would be an advantage. • Consistently demonstrates clear and concise written More ❯

Must Have Hive/SQL - Must Have Job Description : Scala/Spark • Good Big Data resource with the below Skillset: § Spark § Scala § Hive/HDFS/HQL • Linux Based Hadoop Ecosystem (HDFS, Impala, Hive, HBase, etc.) • Experience in Big data technologies , real time data processing platform(Spark Streaming) experience would be an advantage. • Consistently demonstrates clear and concise written More ❯

a relevant discipline such as Computer Science, Statistics, Applied Mathematics, or Engineering - Strong experience with Python and R - A strong understanding of a number of the tools across the Hadoop ecosystem such as Spark, Hive, Impala & Pig - An expertise in at least one specific data science area such as text mining, recommender systems, pattern recognition or regression models - Previous More ❯