7 of 7 Remote/Hybrid Hadoop Jobs

development experience Familiarity with cloud platforms and services (e.g., AWS, Azure, Google Cloud Platform, etc.). Experience with big data technologies and frameworks (e.g., Hadoop, Spark, Kafka, etc.). Proficiency with languages like Python or R Ability to create compelling and insightful visualizations using tools like Tableau, Power ...

Java/Scala. Databases: Experience across Relational (SQL), NoSQL (MongoDB/Cassandra), and Graph (Neo4j). Big Data: Hands-on experience with Hadoop or Spark. Infrastructure: Comfortable with Linux/Bash, Docker, and Cloud IaaS/PaaS environments. Integrations: Familiarity with BI tools (PowerBI/Tableau) and integration platforms ...

scale data. Knowledge of SQL and databases (relational and/or NoSQL). Experience with distributed systems. Familiarity with Big Data ecosystem tools (e.g., Hadoop, Hive, Kafka - a plus). Experience with Cloud environments (AWS, Azure, or GCP - a plus). Knowledge of version control (Git) and CI/ ...

technologies skills (e.g. MongoDB, InfluxDB, Neo4J...) Data exchange and processing skills (e.g. ETL, ESB, API...) Development (e.g. Python) skills Big data technologies knowledge (e.g. Hadoop stack) Knowledge in NLP (Natural Language Processing) Knowledge in OCR (Object Character Recognition) Knowledge in Generative AI (Artificial Intelligence) would be advantageous Experience ...

Agile ceremonies and actively engage with the team. Must Have Skills: Hands-on experience with Cloudera Data Platform (CDP) on AWS or recent Hadoop administration on similar platforms. AWS administration and platform management experience. Strong experience in Spark, Airflow, Apache Ranger, Impala (AWS CDK is a plus). Agile ...

Ensuringdataquality,reliability,andoperationalexcellence Leadingthedesignanddeliveryofnewdataproductsandpipelines Collaboratingcloselywithstakeholdersandtechnicalteams Providingtechnicalleadershipandmentoringwithindeliveryteams Whattherelookingfor: Strongexperienceindataengineeringroles Provenleadershiporlinemanagementexperience Hands-onexperiencewithcloudplatforms(AWSorAzure;GCPbeneficial) StrongSQLskillsandexperiencewithrelationaldatabases Pythondevelopmentexperienceandfamiliaritywithframeworks(e.g.Flask,Django) ExperiencebuildingandorchestratingETLpipelines(e.g.Airflow,Luigi,Argo) Exposuretobigdatatechnologies(e.g.Spark,Kafka,Hadoop) ExperienceworkinginAgileenvironments Solidunderstandingofdataarchitectureanddataqualitybestpractices ...

Hands-On Experience with Deep Learning Frameworks (TensorFlow, PyTorch, XGBoost) Deep Knowledge of Data Warehousing, ETL/ELT Architectures & Heavy Analytic Environments (Apache Beam, Hadoop, Spark, Hive) Responsibilities: Leading Customer-Facing AI Deployments across Europe, from the Initial Consulting Phase right through to the Live Implementation of Production … Systems Architecting & Optimising Scalable Data Pipelines, ETL/ELT Solutions & Distributed ML Environments (using Hadoop, Spark & Apache Beam). Deploying Recommendation Engines & Deep Learning Models (TensorFlow, PyTorch) to solve specific Client Problems. Running Technical Design Sessions, Tailoring ML Ops Architectures using Vertex AI & Gen AI. Writing Automation-Focused Code ...