1 to 25 of 47 Hadoop Jobs in the UK

Java Commercial experience in client-facing projects is a plus, especially within multi-disciplinary teams Deep knowledge of database technologies: Distributed systems (e.g., Spark, Hadoop, EMR) RDBMS (e.g., SQL Server, Oracle, PostgreSQL, MySQL) NoSQL (e.g., MongoDB, Cassandra, DynamoDB, Neo4j) Solid understanding of software engineering best practices - code reviews, testing ...

with AI/ML data pipelines and analytics platforms Preferred Qualifications Experience with cloud data platforms (AWS, Azure, GCP) Experience with big data technologies (Hadoop, Spark, Kafka) Familiarity with UML/SysML Strong understanding of API integration and microservices data flows ...

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 ...

practices with Strong understanding of data modeling principles and techniques A solid understanding of big data technologies such as Apache Spark, and knowledge of Hadoop ecosystems. Knowledge of programming languages such as Python, R, or Java is beneficial. Knowledge of ETL/ELT processes (such as DBT), SQL, NoSQL ...

practices with Strong understanding of data modeling principles and techniques A solid understanding of big data technologies such as Apache Spark, and knowledge of Hadoop ecosystems. Knowledge of programming languages such as Python, R, or Java is beneficial. Knowledge of ETL/ELT processes (such as DBT), SQL, NoSQL ...

solving skills Exposure to AI/ML data pipelines and analytics platforms Desirable Experience Cloud data platforms ( AWS, Azure, Google Cloud ) Big data technologies ( Hadoop, Spark, Kafka ) UML/SysML API integration and microservices data flows ...

scale data integration, engineering, and analytics projects Strong expertise in cloud platforms (e.g. Azure, MS Fabric, AWS) and modern data tools (e.g. Apache Spark, Hadoop) Proficiency in programming languages (e.g. Python, SQL, Java) Extensive experience in stakeholder management and collaboration across health and local government to drive improvements ...

/or Computer Vision. Strong knowledge of Machine Learning algorithms and statistics. Experience with SQL/NoSQL databases and big data tools (Spark, Hadoop preferred). Experience with MLOps tools such as Docker, Kubernetes, CI/CD pipelines. Preferred Skills Experience with LLMs/Generative AI (OpenAI, Hugging Face ...

Experience in commodities markets or broader financial markets. Knowledge of quantitative modeling, risk management, or algorithmic trading. Familiarity with big data technologies like Kafka, Hadoop, Spark, or similar. Why Work With Us? Impactful Work: Directly influence the profitability of the business by building technology that drives trading decisions. Innovative ...

Experience in commodities markets or broader financial markets. Knowledge of quantitative modeling, risk management, or algorithmic trading. Familiarity with big data technologies like Kafka, Hadoop, Spark, or similar. Why Work With Us? Impactful Work: Directly influence the profitability of the business by building technology that drives trading decisions. Innovative ...

cloud services and cloud-based data engineering tools , such as AWS, Azure, Microsoft Fabric and Databricks, as well as big data technologies like Hadoop and Spark Skilled in programming languages , including Python, PySpark and Scala, with extensive experience developing robust ETL pipelines and ensuring scalable deployments Experienced in mentoring ...

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 ...

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 ...

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 ...

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 ...

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 ...

experience with data science libraries and frameworks. Expertise in statistical modelling, machine learning, and predictive analytics. Familiarity with big data technologies (eg, Hadoop, Spark) and cloud platforms (eg, AWS, Azure). Excellent problem-solving skills and ability to translate complex data insights into actionable recommendations. Strong communication skills, with ...

familiarity with frameworks (e.g. Flask, Django) Experience building and orchestrating ETL pipelines (e.g. Airflow, Luigi, Argo) Exposure to big data technologies (e.g. Spark, Kafka, Hadoop) Experience working in Agile environments Solid understanding of data architecture and data quality best practices ...

familiarity with frameworks (e.g. Flask, Django) Experience building and orchestrating ETL pipelines (e.g. Airflow, Luigi, Argo) Exposure to big data technologies (e.g. Spark, Kafka, Hadoop) Experience working in Agile environments Solid understanding of data architecture and data quality best practices ...

manipulating, and preparing data from relational databases. Experience with NoSQL databases is a plus. Big Data/Cloud: Experience with big data tools (Spark, Hadoop) and cloud computing platforms (AWS, Azure, or GCP) for scalable ML workflows. Visualization: Ability to create clear, compelling data visualizations using tools like Matplotlib ...

manipulating, and preparing data from relational databases. Experience with NoSQL databases is a plus. Big Data/Cloud: Experience with big data tools ( Spark, Hadoop ) and cloud computing platforms ( AWS, Azure, or GCP ) for scalable ML workflows. Visualization: Ability to create clear, compelling data visualizations using tools like Matplotlib ...

Data engineering frameworks o CI/CD pipelines, DevOps, Git-based workflows o Data lineage, metadata and data governance tooling o Big data ecosystems (Hadoop/Spark) ? Understanding of how data flows across customer onboarding, KYC, payments, lending, and fraud platforms. Domain/Banking Knowledge ? Experience delivering within ...

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 ...

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 ...

Machine Learning: TensorFlow, PyTorch, Scikit-learn GenAI/LLMs: OpenAI API, Hugging Face Transformers, LangChain, Langraph, RAG pipelines Data & Analytics: Pandas, NumPy, Spark, Databricks, Hadoop, Vector Databases, Snowflake Model Deployment: MLflow, FastAPI, Flask, Docker, Kubernetes Cloud & Infrastructure: AWS, Azure, GCP CI/CD pipelines (GitLab, Jenkins) Desirable Skills Experience ...