1 to 25 of 54 Hadoop Jobs in the UK

data modeling . Experience with relational and NoSQL databases such as Oracle, Sybase, PostgreSQL, SQL Server, MongoDB . Familiarity with big data platforms (e.g., Hadoop, Snowflake). Prior experience with ETL tools or as a SQL developer . Proficiency in Python for data engineering and Tableau for reporting ...

Django, Docker Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc. Data acquisition and development of data sets and improving data quality Preparing data for predictive and prescriptive modelling Hands on coding experience, such ...

Django, Docker Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc. Data acquisition and development of data sets and improving data quality Preparing data for predictive and prescriptive modelling Hands on coding experience, such ...

knowledge of when and how to use dedicated hardware. Significant experience with Apache Spark or any other distributed data programming frameworks (e.g. Flink, Hadoop, Beam) Familiarity with Databricks as a data and AI platform or the Lakehouse Architecture. Experience with data quality and/or and data lineage frameworks ...

knowledge of when and how to use dedicated hardware. Significant experience with Apache Spark or any other distributed data programming frameworks (e.g. Flink, Hadoop, Beam) Familiarity with Databricks as a data and AI platform or the Lakehouse Architecture. Experience with data quality and/or and data lineage frameworks ...

knowledge of when and how to use dedicated hardware. Significant experience with Apache Spark or any other distributed data programming frameworks (e.g. Flink, Hadoop, Beam) Familiarity with Databricks as a data and AI platform or the Lakehouse Architecture. Experience with data quality and/or and data lineage frameworks ...

environments (AWS, Azure, GCP) including services like S3, BigQuery, Azure ML, etc. Solid understanding of data engineering principles , SQL, and distributed computing frameworks (Spark, Hadoop). Experience in consulting or client-facing roles , with ability to manage stakeholders and deliver strategic insights. Strong knowledge of machine learning algorithms , statistical ...

environments (AWS, Azure, GCP) including services like S3, BigQuery, Azure ML, etc. Solid understanding of data engineering principles , SQL, and distributed computing frameworks (Spark, Hadoop). Experience in consulting or client-facing roles , with ability to manage stakeholders and deliver strategic insights. Strong knowledge of machine learning algorithms , statistical ...

Strong proficiency in programming languages such as Python, Java, or Scala. Experience with cloud platforms like Azure. Knowledge of big data technologies such as Hadoop, Spark, or Kafka. Proficiency in SQL and database management systems. Familiarity with data warehousing concepts and tools. Ability to work collaboratively with cross-functional ...

Palantir Foundry (full training provided). Familiarity with AI/ML Ops pipelines , real-time analytics, or edge deployments. Big Data stack knowledge (e.g., Hadoop, Spark, Kafka). GenAI/LLM experience (e.g., AWS Bedrock, LangChain). Why this is a great move 🌳 Mission & impact: Work on projects where ...

Palantir Foundry (full training provided). Familiarity with AI/ML Ops pipelines , real-time analytics, or edge deployments. Big Data stack knowledge (e.g., Hadoop, Spark, Kafka). GenAI/LLM experience (e.g., AWS Bedrock, LangChain). Why this is a great move 🌳 Mission & impact: Work on projects where ...

data modelling Exposure to cloud platforms (AWS, Azure, GCP) Awareness of data visualisation tools or analytics platforms Understanding of Big Data concepts (Spark, Kafka, Hadoop) What You’ll Gain Practical experience working on real-world data engineering projects 1:1 mentorship from experienced Data Engineers Guided training in modern ...

delivery experience Strong knowledge of Entity Resolution, Scoring Framework, Network Generation, and UI configuration 5 -10 years' experience with Big Data technologies (Scala, Spark, Hadoop, Elasticsearch) Solid data modelling and analytics platform design experience Excellent stakeholder communication skills Experience with cloud platforms (AWS, Azure, or GCP) Desirable Experience ...

techniques. Cloud & MLOps: Experience with AWS, GCP, or Azure; Docker/Kubernetes; MLflow or similar tools. Data Handling: Familiarity with big data frameworks (Spark, Hadoop) and data versioning tools (DVC). Soft Skills: Strong problem-solving, communication, and ability to work in agile teams. Preferred Qualifications Experience with transformer ...

techniques. Cloud & MLOps: Experience with AWS, GCP, or Azure; Docker/Kubernetes; MLflow or similar tools. Data Handling: Familiarity with big data frameworks (Spark, Hadoop) and data versioning tools (DVC). Soft Skills: Strong problem-solving, communication, and ability to work in agile teams. Preferred Qualifications Experience with transformer ...

platforms (Azure, AWS, GCP) and data migration tools (Azure Data Factory, Informatica, Talend, etc.). Proficiency in SQL , Python , and big data technologies (Spark, Hadoop). Knowledge of data governance , security , and compliance frameworks . Excellent communication and stakeholder management skills. Preferred Qualifications Experience with modern data platforms (Snowflake ...

platforms (Azure, AWS, GCP) and data migration tools (Azure Data Factory, Informatica, Talend, etc.). Proficiency in SQL , Python , and big data technologies (Spark, Hadoop). Knowledge of data governance , security , and compliance frameworks . Excellent communication and stakeholder management skills. Preferred Qualifications Experience with modern data platforms (Snowflake ...

junior & Mid Data Engineers on the best practices when building and managing data infrastructure, including data lakes, warehouses, and distributed processing systems (e.g., PySpark, Hadoop). Data Preparation: Collaborate with data scientists to prepare and transform raw data into formats suitable for machine learning, including feature engineering and data ...

junior & Mid Data Engineers on the best practices when building and managing data infrastructure, including data lakes, warehouses, and distributed processing systems (e.g., PySpark, Hadoop). Data Preparation: Collaborate with data scientists to prepare and transform raw data into formats suitable for machine learning, including feature engineering and data ...

platforms like AWS, Azure, or Google Cloud. Data Modeling: Knowledge of data modeling principles and techniques. Big Data: Experience with big data technologies like Hadoop, Spark, etc. Data Governance: Understanding of data governance principles and practices. Data Security: Knowledge of data security principles and best practices. Project Management: Experience ...

platforms like AWS, Azure, or Google Cloud. Data Modeling: Knowledge of data modeling principles and techniques. Big Data: Experience with big data technologies like Hadoop, Spark, etc. Data Governance: Understanding of data governance principles and practices. Data Security: Knowledge of data security principles and best practices. Project Management: Experience ...

/B Testing, Statistics, Google Cloud Platform, Google Big Query, Agile Development, DevOps, Date Engineering, ETL Data Processing Strong Migration experience of production Hadoop Cluster to Google Cloud. Relevant Certifications Certifications: Google Professional Cloud architect ...

/B Testing, Statistics, Google Cloud Platform, Google Big Query, Agile Development, DevOps, Date Engineering, ETL Data Processing Strong Migration experience of production Hadoop Cluster to Google Cloud. Relevant Certifications Certifications: Google Professional Cloud architect ...

plus. Preferred Qualifications Certifications in Pentaho, Big Data, or Cloud Platforms (AWS/GCP/Azure). Experience with Big Data technologies (Hadoop, Spark) and cloud data services. ...

Need: Experience in architecture & design and consulting services focused on enterprise solutions, data analytics platform, lake houses, data engineering, data processing, data warehousing, ETL, Hadoop & Big Data. Experience in BFSI Industry is required. Experience in defining and designing data governance, data management, and data security solutions for an enterprise ...