26 to 50 of 100 Hadoop Jobs

solutions on platforms such as Amazon Bedrock. Experience developing data-based apps in Streamlit/Shiny Skills in ‘Big Data’ technology tools like Hadoop/Spark Knowledge of Infrastructure as Code tools like CloudFormation/Terraform If you can bring some of these skills and experiences, along with transferable ...

Oracle, Snowflake, Databricks). Experience with data integration (ETL/ELT, APIs). Familiarity with cloud data platforms (AWS, Azure, GCP) and big data (Hadoop, Spark, Kafka) a plus. Domain Knowledge: Exceptional understanding of the Funds business lifecycle, financial instruments, market data, and investment operations. In-depth knowledge ...

relational database technologies (for example, MongoDB) and associated query patterns Familiarity with large-scale data processing and analytics platforms (for example, Apache Spark or Hadoop) Experience implementing, or partnering closely on, data quality, metadata, and governance controls to improve reliability and auditability Understanding of modern distributed systems patterns ...

Shiny, D3.js or other JavaScript data visualization libraries and HTML/CSS. Experience with large-scale data platforms such as Databricks, Spark, Hadoop, or Hive. Experience developing, evaluating, or deploying machine learning and AI solutions, including work with large language models, and cloud environments (e.g., AWS, Azure, GCP). ...

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 ...

/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 ...

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‐have Strong understanding of machine learning methods and experience applying them to complex ...

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 ...

Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools: Experience with big data tools: Hadoop, Spark, Kafka, etc. Experience with relational SQL and NoSQL databases, including Postgres and Cassandra. Experience with data pipeline and workflow management tools: Azkaban, Luigi ...

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 ...

Information Nice to have: Proven experience leading projects and managing teams, Experience in presales, client workshops, or building Proof-of-Concepts (PoCs), Familiarity with Hadoop, Spark, Research or R&D background. Soft Skills Ability to structure projects teams, make technical decisions, and own outcomes, Ability to manage multiple projects ...

compliant solutions Working knowledge of DevOps tools and CI/CD processes Bonus Points For Development experience in Scala or Java Familiarity with Cloudera, Hadoop, HIVE, and Spark ecosystem Understanding of data privacy regulations, including GDPR, and experience working with sensitive data Ability to learn and adapt new technologies ...

Ability to read through code, especially Java. Demonstrable experience collaborating with engineering on services Experience working with large datasets and data processing technologies (e.g., Hadoop, Spark, SQL) Familiarity with anomaly detection, supervised and unsupervised learning methods, and real-time data analysis Experience with statistical analysis and good presentation skills ...

Ability to read through code, especially Java. Demonstrable experience collaborating with engineering on services Experience working with large datasets and data processing technologies (e.g., Hadoop, Spark, SQL) Familiarity with anomaly detection, supervised and unsupervised learning methods, and real-time data analysis Experience with statistical analysis and good presentation skills ...

manage evolving priorities in dynamic environments Experience working with large-scale datasets and building scalable models Experience with distributed data processing frameworks (e.g., Hadoop, Hive, Spark) Proficiency in programming languages such as Python or R, along with SQL Experience with version control tools such as git or GitHub Hands ...

strong understanding of high-concurrency, high-throughput, mission-critical, and zero-downtime systems. Think in distributed systems: Apply practical knowledge of Spark, Hadoop, HBase, HDFS, Hive, Impala, and adjacent data-processing ecosystems to solve complex customer problems. Win technical evaluations: Guide enterprise prospects through demanding architecture reviews, competitive bake ...

schema design, and GDPR-compliant solutionsWorking knowledge of DevOps tools and CI/CD processesBonus Points ForDevelopment experience in Scala or JavaFamiliarity with Cloudera, Hadoop, HIVE, and Spark ecosystemUnderstanding of data privacy regulations, including GDPR, and experience working with sensitive dataAbility to learn and adapt new technologies quickly ...

. Practical software development and machine learning experience (e.g. python, tensorflow, pytorch). Familiarity with SQL and large-scale data processing technologies such as Hadoop, Hive, Impala, Scala, Spark etc. Technology leadership experience from defining market driven visions/goals to the implementation of solutions in a production environment ...

observability platforms, including distributed tracing, logging, metrics, and tools such as Prometheus, Grafana, ELK, or OpenTelemetry. Experience with site reliability engineering practices, relational databases, Hadoop, big data technologies, or cloud‐native services. Familiarity with cloud‐native architecture and managed services across AWS, Azure, or Google Cloud Platform. Knowledge ...

more of the following is preferred: Advanced Python or Scala CI/CD tools (Jenkins, Ansible, Fortify, DevOps pipelines) Microservices and Big Data (Spark, Hadoop/HDFS) AWS services (EC2, EMR, Lambda, S3, Glue) QA automation (Cucumber, Selenium, Karate) Preferred Domain Knowledge Financial data systems: Equity, Commodities, Forex, Futures ...

customer acquisition and operational metrics. The role requires 5+ years in data engineering with a graduate degree in a quantitative field, plus experience with Hadoop/Spark/Kafka and AWS services. #J-18808-Ljbffr ...

with demonstrable experience of working in rapidly changing client environments. Needs to be a practitioner and proponent of Agile and Dev Ops Proficiency in Hadoop, Spark, Scala, Python, or a programming language associated with data engineering Expertise in building and deploying production level data solutions maintained by application support ...

Extensive experience working with operational data stores, data warehouse, large‐scale data technologies and data lakes Experience using distributed frameworks (Spark, Flink, Beam, Hadoop) Good knowledge of containers (Docker, Kubernetes etc) and experience with cloud platforms such as GCP, Azure or AWS Strong experience working with Kafka technologies Clear ...

supporting master data management (MDM) or data governance initiatives. Experience working with Microsoft SQL Server. Experience working with PostgreSQL. Data vault experience. Experience with Hadoop/MongoDB. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term ...