1 to 25 of 30 Permanent Hadoop Jobs in London

dimensional 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 and dashboards. Exposure ...

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 ...

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 ...

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 ...

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 ...

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. ...

equivalent experience ADDITIONAL PREFERRED QUALIFICATIONS 5 years of technical consulting experience Experience with non-relational platforms and tools for large-scale data processing (e.g. Hadoop, HBase) Familiarity and experience with common BI and data exploration tools (e.g. Power BI, Microstrategy, Business Objects, Tableau) Experience and understanding of large-scale ...

accelerators for common BFSI use cases (customer 360, finance reporting, regulatory packs). Your Profile Essential skills/knowledge/experience: Experience on Hadoop based architecture is desirable. Experience on Any one of On-prem Tech – Oracle Exadata, Teradata, SAP Hana or Netezza desirable. Hands-on experience in Data ...

accelerators for common BFSI use cases (customer 360, finance reporting, regulatory packs). Your Profile Essential skills/knowledge/experience: Experience on Hadoop based architecture is desirable. Experience on Any one of On-prem Tech – Oracle Exadata, Teradata, SAP Hana or Netezza desirable. Hands-on experience in Data ...

haven’t been siloed in a big firm then don’t worry. Additional exposure to the following is desired : - Tech Stack you will learn Hadoop and Flink RUST, Javascript, React, Redux, Flow Linux, Jenkins Kafka, Avro, Kubernetes, Puppet Involvement in the Java community My client is based London. Home ...

using Infrastructure as Code tools like Terraform and CloudFormation. The candidate will automate deployments and CI/CD pipelines, configure and tune Cloudera and Hadoop services, manage cluster operations, security (Kerberos/Ranger), and troubleshoot performance issues. Strong hands-on experience with AWS services, DevOps practices, scripting (Python/ ...

understanding of sustainability data. Programming skills in Python and/or R, with working knowledge of SQL and exposure to Big Data technologies (e.g. Hadoop). Solid background in financial services, preferably within asset management or investment analytics. Full-time office presence is required for the first 3 months. ...

Job description S.H.I.F.T Talent has partnered with an IT Consultancy looking for Data Engineers. As a Lead Data Engineer you'll play a pivotal role in helping public sector organisations become truly data-lead, by ...

Job description S.H.I.F.T Talent has partnered with an IT Consultancy looking for Data Engineers. As a Lead Data Engineer you'll play a pivotal role in helping public sector organisations become truly data-lead, by ...

generative AI applications. - Perform Exploratory Data Analysis (EDA), data mining, and visualization to extract insights. - Design and implement Big Data solutions using Hadoop, Spark, PySpark, and DataLake architectures. - Develop and deploy ML models (supervised, unsupervised, tree-based, ensemble methods). - Implement deep learning architectures (CNN, RNN, LSTM) using TensorFlow … Ensure scalability, security, and compliance of AI systems. Required Skills: Analytical Tools: - EDA, Data Mining, Visualization (Plotly, Matplotlib, Seaborn) - Statistical & Multivariate Analysis Big Data: - Hadoop, MapReduce, HDFS, DataBricks, Spark, PySpark - DataLake Architecture, AWS Redshift, Kinesis, EMR Machine Learning - Supervised Models: Naïve Bayes, Logistic Regression, SVM, Linear Regression, KNN - Tree ...