51 to 75 of 193 Permanent Hadoop Jobs

spirit Excellent verbal and written communication skills BS or MS degree in Computer Science or equivalent Experience in distributed computing frameworks like Hive/Hadoop, Apache Spark Experience in developing Finance or HR related applications Experience with following cloud services: AWS Elastic Beanstalk, EC2, S3, CloudFront, RDS, DynamoDB ...

addition to the above, we would be thrilled if you also had: Experience of working on migrations of enterprise scale data platforms including Hadoop and traditional data warehouses An understanding of machine learning model development lifecycle, feature engineering, training and testing Good understanding or hands‐on experience of Kafka ...

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, VPC, Elastic Cache ...

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, VPC, Elastic Cache ...

data warehousing concepts and dimensional modeling. Strong experience in cloud platforms such as AWS/Azure/GCP. Experience with big data technologies (Spark, Hadoop, Kafka). Knowledge of API integrations and microservices-based data ingestion. Experience working in Agile/Scrum environments. Banking Domain Experience (Mandatory) Experience working ...

/ML offerings. Strong programming skills (Python, Java, C++) and experience with DevOps practices (CI/CD). Knowledge of big data technologies (Hadoop, Spark, Flink). Knowledge of NoSQL databases (MongoDB, Cassandra, DynamoDB), message queueing systems (Kafka, RabbitMQ), and version control systems (Git). Preferred Skills: Hugging Face ...

production. Strong knowledge of Python and core ML libraries (e.g., spaCy, NumPy, SciPy, Transformers). Understanding of big data and cloud technologies (Spark, Hadoop, Azure, AWS, or GCP). Deep expertise in MLOps principles, scalable model deployment, and model governance. Excellent communication and stakeholder management skills with the ability ...

environments and practises with good working knowledge of SQL and at least one business intelligence package (Tableau/PowerBI) Experience in PySpark and a Hadoop environment Project management and cross functional matrix leadership experience Experience in line management of data scientists Experience in front end development frameworks such ...

addition to the above, we would be thrilled if you also had: Experience of working on migrations of enterprise scale data platforms including Hadoop and traditional data warehousesAn understanding of machine learning model development lifecycle, feature engineering, training and testingGood understanding or hands-on experience of KafkaExperience ...

responsibly to improve productivity while maintaining appropriate human oversight, governance, and solution quality. Bonus Points ForDevelopment experience using Scala or Java. Familiarity with Cloudera, Hadoop, Hive, Spark, and related distributed data ecosystems. Experience working with sensitive data and applying data privacy regulations, including GDPR.Curiosity to explore new technologies, including ...

Life Sciences. Experience working for a 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/ ...

Regression, and Times Series Modeling. Experience using data with high-volume (1TB+) & high-dimensionality (500+ variables per schema), especially within a big data framework (HaDoop, Citus, MongoDB, etc). Experience performing Data Wrangling, Exploratory Data Analysis (EDA), Correlation Analysis, Statistical Methodologies (distributions, hypothesis testing, confidence intervals) & Significance Testing ...

identifying and managing sales opportunities at client engagements An understanding of database technologies e.g. SQL, ETL, No‐SQL, DW, and Big Data technologies e.g. Hadoop, Mahout, Pig, Hive, etc.; An understanding of statistical modelling techniques e.g. Classification and regression techniques, Neural Networks, Markov chains, etc.; An understanding of cloud ...

Choose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Your locationYour locationIndustriesChoose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Birmingham ...

Services: SOAP and Rest IT networking CI/CD The Atlassian Suite (JIRA, Confluence, Bitbucket, Bamboo) Azure Services Machine learning algorithms Big Data (Hadoop, Azure Data Lake, S3, Apache Spark) Additional programming languages – Python, Scala, Typescript, CSS 3/SASS (or other pre-processors) Other Information The successful candidate ...

Strong understanding of data structures, algorithms, and software design principles Experience working with large-scale data processing, distributed computing, or cloud-based platforms (e.g., Hadoop, Spark, AWS) is highly desirable Familiarity with ESG investing principles and market trends is a plus Excellent problem-solving, analytical, and debugging skills Strong ...

detail.* Strong partner management and ability to lead large organizations through influence.* Continuous learning and improvement perspective.## Desired* Experience with big data technologies (e.g. Hadoop, Hive, and Spark) is a plus.* No prior experience in the energy industry required. **Why join us?****At bp, we support our people ...

analysis of data. Manage and integrate data across dissimilar data sets. Analyze large-scale structured and unstructured data. Use frameworks such as Spark and Hadoop to conduct large-scale data processing. Perform statistical modeling and create data visualizations using products like Tableau, Microsoft Power BI and R Shiny. Research ...

detail. Strong partner management and ability to lead large organizations through influence. Continuous learning and improvement perspective. DesiredExperience with big data technologies (e.g. Hadoop, Hive, and Spark) is a plus. No prior experience in the energy industry required. Why join us? At bp, we support our people to grow ...

experience (focus on machine learning): SQL and Python's Data Science stack; good knowledge of at least one big data framework (e.g., PySpark, Hive, Hadoop) is a plus. R, SPSS, and SAS are considered nice-to-haveStrong understanding of machine learning methods and experience applying them to complex, data ...

Python data science ecosystem (e.g. NumPy, Pandas, scikit-learn, PyTorch, TensorFlow). Experience with big data and distributed analytics platforms (e.g. Spark, Hadoop). Hands-on experience with Natural Language Processing, graph analytics and advanced analytical methods. Experience using cloud analytics platforms, with strong AWS and native tooling expertise. ...

detail. Strong partner management and ability to influence across teams and organisations. Continuous learning and improvement mentality. Desired Experience with big data technologies (e.g. Hadoop, Hive, Spark). Experience with generative AI, LLMs, or retrieval-augmented generation (RAG). Exposure to Agentic AI concepts, including autonomous agents, tool ...

gained concurrently): - Snowflake experience - AWS Athena serverless data warehousing One (1) year of experience in the following (experience may be gained concurrently): - Hadoop ecosystem - Hive and Presto - YARN resource management 40 hours/week, 9:30am-5:30pm, Salary: $160,056k - $165k/year. Telecommuting from a home office ...

Azure. Advanced analytics, predictive modelling, machine learning, cognitive tools and artificial intelligence. Structured and unstructured data management systems and models, including relational, columnar store, Hadoop and NoSQL platforms. Modern data visualisation platforms such as Tableau, Power BI, Qlik, MicroStrategy and others. IDEALLY WE'D LIKE: Experience in data ...

/DEI, 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 ...