22 of 22 Hadoop Jobs in London

cloud platforms such as: AWS, Azure, Google Cloud Platform (GCP) Hands-on experience with data technologies such as: Apache Spark, Databricks, Kafka, Airflow, Snowflake, Hadoop ecosystems Experience designing and maintaining data warehouses and data lakes. Knowledge of DevOps and CI/CD tooling (e.g. Git, Jenkins, Azure DevOps, Terraform ...

n.Cloud Storag e: For scalable and durable object storag e.Cloud Composer (Apache Airflow ): For workflow orchestration and pipeline managemen t.Cloud Datapro c: For managed Hadoop and Spark clusters (good to have ).Cloud SQL/Cloud Spanner/Cloud Bigtabl e: Experience with relational and NoSQL database s.Strong proficiency ...

quality checks into pipelines. Knowledge of cloud infrastructure (AWS, Azure, or GCP) and database technologies including relational and non-relational stores such as Postgres, Hadoop, Elasticsearch, and Graph databases. Solid understanding of coding best practices, design patterns, CI/CD tooling, versioning, dependency management, error handling, monitoring, and alerting. ...

ability to think critically and analytically. Strong experience in documentation and data dictionaries. Knowledge of big data technologies and distributed computing frameworks such as Hadoop and Spark. Excellent communication skills to effectively collaborate with cross-functional teams and present insights to business stakeholders. ...

Implement job orchestration using Databricks Workflows, Airflow, AWS Step Functions, or similar tools. Manage secrets, environment variables, and secure connections. Support migration from legacy Hadoop/Spark platforms to Databricks on AWS, if required. 'We are a Disability Confident Employer: Capgemini is proud to be a Disability Confident Employer ...

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 ...

skills in Python, with a command of data science libraries (e.g., Pandas, NumPy, Scikit‐learn). Experience with big data technologies (e.g., Spark, Trino, Hadoop) and ideally cloud platforms (e.g., AWS, GCP, Azure) for scalable data processing, storage, and model deployment. Ideally having understanding and practical experience with graph ...

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 ...

unstructured datasets. Strong stakeholder management and communication skills. Desirable Insurance or financial services experience, ideally within pricing, underwriting, fraud, or claims. Experience with Spark, Hadoop, NoSQL, or modern big data platforms. Agile delivery experience and collaborative software development practices. Experience leading analytics teams and driving organisational change. Robert Walters ...

Relational databases (SQL Server, PostgreSQL, Oracle, MySQL) Data visualisation tools (Power BI, Tableau, Spotfire) Cloud platforms, particularly Microsoft Azure Big data technologies (Spark, Elasticsearch, Hadoop) Statistical modelling and advanced analytics Machine learning and pattern recognition techniques Web technologies such as HTML and JavaScript ...

emerging data technologies, products and delivery approaches Familiarity with cloud platforms such as Azure, AWS or GCP, alongside technologies including Databricks, Snowflake, Power BI, Hadoop, SQL and Python Experience working with delivery methodologies including Agile, SAFe and Waterfall Strong proficiency with tools such as Jira, Confluence and Planview ...

proficiency in machine learning frameworks and programming languages such as Python, R, or similar. Experience working with large datasets and data processing technologies (e.g., Hadoop, Spark, SQL). Familiarity with anomaly detection, supervised, unsupervised learning methods, deep learning, and graph based solutions Demonstrated ability to work collaboratively in cross ...

scale analytics platforms Expert knowledge of Quantexa, Entity Resolution (ER), Scoring Framework, Contextual Network Generation Expertise in Big Data technologies, including: Scala, Apache Spark, Hadoop, ElasticSearch Strong stakeholder management and communication skills - capable of interfacing with both business and technical audiences. The work is heavily weighted toward Financial Services ...

clustering and classification techniques. Fluency in a programming language (Python, C, C++, Java, SQL). Familiarity with Big Data frameworks and visualisation tools (Cassandra, Hadoop, Spark, Tableau). ...

Strong technical skills in Python and SQL, including building data pipelines and working with large-scale datasets and distributed data platforms (e.g., BigQuery, Snowflake, Hadoop or similar) Experience applying data science, machine learning, or data engineering approaches within data-intensive domains such as Finance or Operations Proficiency with ...

methodology Data Skills Data Validation Data Analysis Reporting and Reconciliation Good-to-Have Skills Understanding of: Mortgage products Loan products Credit Card portfolios SQL Hadoop Cloud-based Data Platforms (AWS, Azure, GCP) We are a Disability Confident Employer: Capgemini is proud to be a Disability Confident Employer (Level ...

multiple teams. Who we’re looking for: Experience of working in a Data Democratization environment Technical skills in big data, GCP (or AWS, Azure, Hadoop) and an awareness of data ingestion tooling and near real time ingestions. Communicate clearly between internal and external teams Experience in coaching teams ...

stakeholders. Preferred qualifications, capabilities, and skills Experience designing/implementing pipelines using DAGs (e.g. Kubeflow, DVC, Ray) Experience of big data technologies (e.g. Spark, Hadoop) Have constructed batch and streaming microservices exposed as REST/gRPC endpoints Familiarity with GraphQL Level of experience Senior (5+ years of experience) Tagged ...

Experience with modeling tools such as R, scikit‐learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. Equal Opportunity & Privacy Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. ...

mission-critical platform, driving architecture, performance optimisation, automation, and engineering best practice. Strong Java and distributed systems experience required. Exposure to AI, LLMs, Hadoop, Elasticsearch or Oracle would be advantageous. ...

Science (IT/Computer Science/Engineer) Employment Type: Full-Time UK based candidates only. Role Overview: We are seeking an experienced Scala/Hadoop/Big Data Developer . The role will focus on building and enhancing data-driven solutions, working within a fast-paced financial services environment. … Responsibilities: Design, develop, and maintain applications using Scala, Python, Hadoop and Java . Work with Big Data technologies , including Spark, Hive (nice to have). Collaborate with cross-functional teams to deliver scalable, high-performance solutions. Participate in code reviews, testing, and performance optimization. Ensure best practices in coding ...

Job Title Data Scientist III, Analytics – Expedia B2B Role Overview As a Data Scientist III on the Analytics team at Expedia B2B, you will lead data science initiatives that drive supply optimisation for our global ...