10 of 10 Hadoop Jobs in the North of England

data pipelines and analytics platforms. Preferred Qualifications: Experience with cloud data platforms (e.g., AWS, Azure, Google Cloud). Experience with big data technologies (e.g., Hadoop, Spark, Kafka). Experience with UML/SYSML. Strong understanding of API integration and microservices data flow. If you have a strong background ...

compliance requirements Excellent communication, problem-solving and documentation skills Desirable: Experience with cloud data platforms (AWS, Azure or GCP) Exposure to big data technologies (Hadoop, Spark, Kafka) Familiarity with ETL/orchestration tools (e.g. Informatica, Talend, Airflow) Experience with API integration and microservices data flows Familiarity with AI/ ...

experience in leading and developing data engineering platforms. The ideal candidate will possess hands-on expertise in the following areas: Extensive enterprise experience with Hadoop, Spark , and Splunk. Proficiency in object-oriented and functional scripting, particularly in Python . Skilled in handling raw, structured, semi-structured, and unstructured data ...

years in Python programming, including OOPs, data structures, Stacks, Queues, Scripting, Linkedlists, Arrays, and API development. •Minimum 5 years in Big Data technologies (e.g., , Hadoop). •Minimum 4 years in cloud platforms (AWS, Azure, GCP) and their AI/ML services. •Minimum 5 years in ML model development, data ...

years in Python programming, including OOPs, data structures, Stacks, Queues, Scripting, Linkedlists, Arrays, and API development. •Minimum 5 years in Big Data technologies (e.g., , Hadoop). •Minimum 4 years in cloud platforms (AWS, Azure, GCP) and their AI/ML services. •Minimum 5 years in ML model development, data ...

energy sectors. Strong knowledge of data fabric architectures, metadata management, and data governance principles. Experience with SQL, ETL tools, and big data technologies (e.g., Hadoop, Spark, Kafka). Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and data integration frameworks. Strong problem-solving skills and ability to work ...

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 ...

Python skills; experience with deep learning frameworks (TensorFlow, PyTorch) Solid understanding of ML algorithms, statistics, and data modelling Experience with large-scale data tools (Hadoop, Spark, Kafka) Cloud & MLOps experience (AWS, Azure, or GCP) NLP experience highly beneficial Strong leadership, communication, and stakeholder management ...

exchange and processing experience including ETL, ESB and API-based integrations Development experience, ideally using Python Knowledge of big data technologies such as the Hadoop stack Exposure to NLP and OCR technologies Awareness or hands-on experience with Generative AI solutions Experience with containerisation technologies such as Docker Background ...

define OKRs and track the success of new features. Data Storytelling: Don't just pull the data-explain it. You'll translate complex Hadoop/SQL datasets into actionable insights for non-technical stakeholders. Innovate: Use Python, R, and Tableau to build intuitive visualizations and experiment with new ways ...