of Data Mining, Classical Machine Learning, Deep Learning, NLP and Computer Vision. Experience with Large Scale/Big Data technology, such as Hadoop, Spark, Hive, Impala, PrestoDb. Hands-on capability developing ML models using open-source frameworks in Python and R and applying them on real client use cases. … Proficient in one of the deep learning stacks such as PyTorch or Tensorflow. Working knowledge of parallelisation and async paradigms in Python, Spark, Dask, Apache Ray. An awareness and interest in economic, financial and general business concepts and terminology. Excellent written and verbal command of English. Strong problem-solving More ❯
You're ready to gain the skills and experience needed to grow within your role and advance your career - and we have the perfect software engineering opportunity for you. As a Software Engineer III at JPMorgan Chase within Corporate Technology More ❯
Business Intel Engineer-II, RBS Storewalk As a Research Analyst (RA), you'll collaborate with experts to develop ML solutions for business needs. You'll drive product pilots, demonstrating innovative thinking and customer focus. You'll build scalable solutions, write More ❯
is the industry-leading cloud big data platform for petabyte-scale data processing, interactive analytics, and machine learning using open-source frameworks such as Apache Spark, Trino, Hadoop, Hive, and HBase. Amazon Athena is a serverless query service that simplifies analyzing data directly in Amazon S3 using standard … Experience designing or architecting (design patterns, reliability, and scaling) of new and existing systems Master's degree in computer science or equivalent Experience with Apache Hadoop ecosystem applications: Hadoop, Hive, Presto, Spark, and more Our inclusive culture empowers Amazonians to deliver the best results for our customers. If More ❯
QUALIFICATIONS - Implementation experience with AWS services - Hands on experience leading large-scale global data warehousing and analytics projects. - Experience using some of the following: Apache Spark/Hadoop ,Flume, Kinesis, Kafka, Oozie, Hue, Zookeeper, Ranger, Elasticsearch, Avro, Hive, Pig, Impala, Spark SQL, Presto, PostgreSQL, Amazon EMR,Amazon Redshift More ❯
and Solution Architect teams to design the overall solution architecture for end-to-end data flows. Utilize big data technologies such as Cloudera, Hue, Hive, HDFS, and Spark for data processing and storage. Ensure smooth data management for marketing consent and master data management (MDM) systems. Key Skills and … delivery for streamlined development workflows. Azure Data Factory/DataBricks : Experience with these services is a plus for handling complex data processes. Cloudera (Hue, Hive, HDFS, Spark) : Experience with these big data tools is highly desirable for data processing. Azure DevOps, Vault : Core skills for working in Azure cloud More ❯
and Solution Architect teams to design the overall solution architecture for end-to-end data flows. Utilize big data technologies such as Cloudera, Hue, Hive, HDFS, and Spark for data processing and storage. Ensure smooth data management for marketing consent and master data management (MDM) systems. Key Skills and … delivery for streamlined development workflows. Azure Data Factory/DataBricks : Experience with these services is a plus for handling complex data processes. Cloudera (Hue, Hive, HDFS, Spark) : Experience with these big data tools is highly desirable for data processing. Azure DevOps, Vault : Core skills for working in Azure cloud More ❯
modelling- experience delivering physical, logical or conceptual data models Data design- experience developing data warehouses, lakehouses or data lakes Use of tools such as Apache Atlas, Hive Metastore, AWS Glue/Datazone Data standards- experience driving data standards If you are interested in working for a government client More ❯
technical specifications; assured code/systems against standards; championed data standards Metadata Management: Designed/Developed data catalogues or metadata repositories; used tools like Apache Atlas/Hive Metastore/AWS Glue/AWS Datazone Data Design: Designed data lakes/data warehouses/data lakehouses/data More ❯
