1 to 25 of 50 Hadoop Jobs in London

or 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 more »

such as TensorFlow, PyTorch, or Scikit-learn. Strong knowledge of statistical modelling, data mining, and data visualization techniques. Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, GCP, Azure). Strong problem-solving skills and the ability to think critically and creatively. Excellent analytical skills more »

ETL processes, and data warehousing. - Significant exposure and hands on at least 2 of the programming languages - Python, Java, Scala, GoLang. - Significant experience with Hadoop, Spark and other distributed processing platforms and frameworks. - Experience working with Open table/storage formats like delta lake, apache iceberg or apache hudi. more »

models, ETL processes, and data warehousing solutions. Programming: Utilize Python, Java, Scala, or GoLang to build and optimize data pipelines. Distributed Processing: Work with Hadoop, Spark, and other platforms for large-scale data processing. Real-Time Data Streaming: Develop and manage pipelines using CDC, Kafka, and Apache Spark. Database more »

through improved data handling and analysis. Responsibilities: Build predictive models using machine-learning techniques that generate data-driven insights on modern data platforms (Spark, Hadoop and other map-reduce tools); Develop and productionalize containerized algos for deployment in hybrid cloud environments (GCP, Azure) Connect and blend data from various more »

services or hedge fund industry. Technical Skills: Proficiency in Python and SQL. Experience with relational and NoSQL databases. Knowledge of big data frameworks (e.g., Hadoop, Spark, Kafka). Understanding of financial markets and trading systems. Strong analytical, problem-solving, and communication skills. Familiarity with DevOps tools and practices. This more »

Must have 8+ years' Experience with Relational Databases like Oracle, NoSQL Databases and/or Big Data technologies (e.g. Oracle, SQL Server, Postgres, Spark, Hadoop, other Open Source). Must have experience in Data Security Solutions (Identity and Access Management and Data Security Access Management) Must have 3+ years more »

TensorFlow, PyTorch). Solid understanding of ML and data pipeline architectures and best practices. Experience with big data technologies and distributed computing (e.g., Spark, Hadoop) is a plus. Proficient in SQL and experience with relational databases. Strong analytical and problem-solving skills, with a keen attention to detail. Knowledge more »

on experience with analytic tools like R & Python; & visualization tools like Tableau & Power BI Exposure to cloud platforms and big data systems such as Hadoop HDFS, and Hive is a plus Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes Graduate more »

JMeter or similar tools Web services technology such as REST, JSON or Thrift Testing web applications with Selenium WebDriver Big data technology such as Hadoop, MongoDB, Kafka or SQL Network principles and protocols such as HTTP, TLS and TCP Continuous integration systems such as Jenkins or Bamboo Continuous delivery more »

Leading ecommerce client are now searching for a Senior Data Engineer to contribute towards the delivery of their data strategy. This engineer will shape our client’s data function, delivering end to end solutions for an array of customer data more »

Director of Data & AI London based We are searching for a Director of Data and Artificial Intelligence- someone with hands on experience designing AI solutions to solve complex business problems. Your new role is a leadership position at a business more »

and NoSQL databases • Programming languages such as Spark or Python • Amazon Web Services, Microsoft Azure or Google Cloud and distributed processing technologies such as Hadoop Benefits : • Base Salary: £45,000 - £75,000 (DoE) • Discretionary Bonus: Circa 10% per annum • DV Bonus: Circa £5,000 • Flex Fund: £5000 • Health: Private more »

scaling, and troubleshooting of cloud systems.- Operational experience running a 24x7 production infrastructure at scale.- Proficiency working with data structures, schemas, and technologies like Hadoop, Hive, Redis, and MySQL- Experience in using cloud-native services like GKE, EKS, AWS/GCP load balancing, AWS/GCP cloud storage platforms more »

Version 1 has celebrated over 26 years in the Technology industry and continues to be trusted by global brands to deliver IT solutions that drive customer success. Version 1 has several strategic technology partners including Microsoft, AWS, Oracle, Red Hat more »

Senior Vice President Data & AI London based We are searching for a Senior Vice President of Data and Artificial Intelligence- someone with hands on experience designing AI solutions to solve complex business problems. Your new role is a leadership position more »

of technology to automate data pipelines and build analytical warehouses· Deep understanding of cloud-based data platforms (Azure SQL DB, Azure Synapse, ADLS, AWS, Hadoop, Spark, Snowflake, No-SQL etc).· Proficient scripting in programming languages such as Java, Python, Scala· Expert in SQLMachine Learning· Good basic understanding of more »

modeling, data access, and data storage techniques. Excellent problem-solving skills and the ability to think algorithmically. Desirable Skills: Knowledge of big data technologies (Hadoop, Spark, Kafka) is highly desirable. Familiarity with data governance and compliance requirements. more »

as DBT, FiveTran, etc. Understanding of Agile Delivery best practice Good knowledge of the relevant technologies e.g. SQL, Oracle, PostgreSQL, Python, ETL pipelines, Airflow, Hadoop, Parquet. Strong problem-solving and analytical abilities. Ability to present solutions and limitations to non-IT business experts ABOUT YOU Integrity, respect, intellectually curious more »

experience in data science, preferably within the energy or utilities sector. Technical Skills: Proficiency in Python, R, SQL, and big data technologies such as Hadoop, Spark, or Kafka. Experience with machine learning frameworks such as TensorFlow or PyTorch. Analytical Skills: Strong problem-solving skills with the ability to derive more »

with a statistical programming language (Python or R) and experience with libraries specifically for Machine Learning or Data Analytics as well as knowledge on Hadoop/MapReduce is a plus. Hands-on experience building and delivering large scale enterprise systems/products.Experience attracting, hiring and retaining top engineering talent.Experience more »

and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau more »

Analytics. Strong SQL and Python skills. Experience with data modeling, ETL processes, and data warehousing. Knowledge of big data technologies such as Spark and Hadoop is a plus. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Experience in the healthcare sector is a plus more »

About the roleA Payments FinTech are currently seeking a Data Engineering Lead (Python, Hadoop & SQL) to lead and mentor a talented team of data engineers and scientists as they look to simplify the bank through developing innovative data driven solutions, allowing them to be commercially successful through insight, and more »

manage multiple tasks and projects simultaneously. Preferred Qualifications AWS Certified Solutions Architect or other relevant AWS certifications. Experience with big data technologies such as Hadoop, Spark, or similar. Knowledge of data governance and data quality best practices. Familiarity with machine learning and AI concepts and tools. more »