22 of 22 Permanent MapReduce Jobs in London

Familiarity with one scripting language, preferably Python. Experience with Apache Airflow & Apache Spark. Solid understanding of cloud data services: AWS services such as S3, Athena, EC2, RedShift, EMR (Elastic MapReduce), EKS, RDS (Relational Database Services) and Lambda. Nice to have: Understanding of ML Models. Understanding of containerisation and orchestration technologies like Docker/Kubernetes. Relevant knowledge or experience in the More ❯

Familiarity with one scripting language, preferably Python. Experience with Apache Airflow & Apache Spark. Solid understanding of cloud data services: AWS services such as S3, Athena, EC2, RedShift, EMR (Elastic MapReduce), EKS, RDS (Relational Database Services) and Lambda. Nice to have Understanding of ML Models. Understanding of containerisation and orchestration technologies like Docker/Kubernetes. Relevant knowledge or experience in the More ❯

. Ability to create well-documented, scalable, and reusable data solutions. Strong Pre sales experience within a consulting environment Desirable Skills Experience with big data technologies such as Hadoop, MapReduce, or Spark. Exposure to microservice-based data APIs . Familiarity with data solutions in other public cloud platforms . AWS certifications (e.g., Solutions Architect Associate , Big Data Specialty ). Experience More ❯

. Ability to create well-documented, scalable, and reusable data solutions. Strong Pre sales experience within a consulting environment Desirable Skills Experience with big data technologies such as Hadoop, MapReduce, or Spark. Exposure to microservice-based data APIs . Familiarity with data solutions in other public cloud platforms . AWS certifications (e.g., Solutions Architect Associate , Big Data Specialty ). Experience More ❯

Delivery Consultant - Data Analytics, AWS Professional Services Job ID: Amazon Web Services Australia Pty Ltd Are you a Data Analytics specialist? Do you have Real-time Data Analytics, Data Warehousing, Big Data, Modern Data Strategy, Data Lake and Data engineering More ❯

Linux and Windows operating systems: security, configuration, and management Database design, setup, and administration (DBA) experience with Sybase, Oracle, or UDB Big data systems: Hadoop, Snowflake, NoSQL, HBase, HDFS, MapReduce Web and Mobile technologies, digital workflow tools Site reliability engineering and runtime operational tools (agent-based technologies) and processes (capacity, change and incident management, job/batch management) Email, messaging More ❯

Delivery Consultant - Machine Learning (GenAI), ProServe SDT North AWS Professional Services is a unique organization. Our customers are most-advanced companies in the world. We build for them world-class, -native IT solutions to solve real business problems and we More ❯

Experienced with Matillion and modern data visualisation tools (QuickSight, Tableau, Looker, etc.). Strong scripting and Linux/cloud environment familiarity. Desirable: Exposure to big data tools (Spark, Hadoop, MapReduce). Experience with microservice-based data APIs. AWS certifications (Solutions Architect or Big Data Specialty). Knowledge of machine learning or advanced analytics. Interested? This is a great opportunity to More ❯

Experienced with Matillion and modern data visualisation tools (QuickSight, Tableau, Looker, etc.). Strong scripting and Linux/cloud environment familiarity. Desirable: Exposure to big data tools (Spark, Hadoop, MapReduce). Experience with microservice-based data APIs. AWS certifications (Solutions Architect or Big Data Specialty). Knowledge of machine learning or advanced analytics. Interested? This is a great opportunity to More ❯

classification, supervised, and unsupervised learning). Experience with prototyping languages such as Python and R. Strong mathematical background (linear algebra, calculus, probability and statistics). Experience with scalable ML (MapReduce, streaming). Ability to drive a project and work both independently and in a team. Smart, motivated, can-do attitude, and seeks to make a difference. Excellent verbal and written More ❯

testing, and operations. Experience with data mining, machine learning, rules engines, and workflow systems. Deep understanding of SOA and building scalable, fault-tolerant systems using cloud technologies. Experience with MapReduce paradigms and Big Data tools like Spark and Hive. Experience developing algorithms for large datasets; AWS knowledge is a plus. We foster an inclusive culture that empowers Amazon employees to More ❯

lineage, and metadata practices Fluency in database technologies (both relational and NoSQL) Experience with Linux environments and data visualisation tools (e.g. Tableau, QuickSight, Looker ) Familiarity with Hadoop, Spark, or MapReduce Exposure to data APIs and microservice-based architectures AWS certifications (Solutions Architect Associate, Big Data Specialty) Experience or interest in machine learning data pipelines As a Principal Data Engineer , you More ❯

you Have experience with Cloud-based or SaaS products and a good understanding of Digital Marketing and Marketing Technologies. Have experience working with Big Data technologies (such as Hadoop, MapReduce, Hive/Pig, Cassandra, MongoDB, etc) An understanding of web technologies such as Javascript, node.js and html. Some level of understanding or experience in AI/ML. Physical Requirements: Working More ❯

Delivery Consultant - Data Analytics & GenAI, AWS Professional Services Public Sector Job ID: Amazon Web Services Australia Pty Ltd Are you a Data Analytics and GenAI specialist? Do you have real-time Data Analytics, Data Warehousing, Big Data, Modern Data Strategy More ❯

Excellent communication and decision making skills Exposure to working with REST API's Any of the following skills would be an added bonus: Has run code across Hadoop/MapReduce clusters Has code running in a production environment Used SAS before (or at least can decipher SAS code) Worked with very large data sets before (billions of records) Knowledge of More ❯

lineage, and metadata practices Fluency in database technologies (both relational and NoSQL) Experience with Linux environments and data visualisation tools (e.g. Tableau, QuickSight, Looker ) Familiarity with Hadoop, Spark, or MapReduce Exposure to data APIs and microservice-based architectures AWS certifications (Solutions Architect Associate, Big Data Specialty) Experience or interest in machine learning data pipelines ? Why Join? As a Principal Data More ❯

Delivery Consultant - Machine Learning (GenAI), ProServe SDT North Job ID: Amazon Web Services EMEA SARL, Dutch Branch AWS Professional Services is a unique organization. Our customers are most-advanced companies in the world. We build for them world-class, cloud More ❯

Data Scientist - skills in statistics, physics, mathematics, Computer Science, Engineering, Data Mining, Big Data (Hadoop, Hive, MapReduce) This is an exceptional opportunity to work as a Data Scientist within a global analytics team, utilizing various big data technologies to develop complex behavioral models, analyze customer uptake of products, and foster new product innovation. Responsibilities include: Generating and reviewing large datasets More ❯

including machine learning, time-series analysis, pattern recognition, NLP) Prior experience working in a data-driven research environment Experience with NoSQL databases (e.g., MongoDB) Experience with distributed computing using MapReduce Experience with translating mathematical models and algorithms into code (Python, R or C++) Independent research experience Ability to manage multiple tasks and thrive in a fast-paced team environment Excellent More ❯

latest machine learning, data processing technologies and a broad set of AWS technologies. In order to drive the expansion of Amazon selection, we use cluster-computing technologies such as MapReduce and Spark to process billions of products and find the products/brands not already sold on Amazon. We work with structured and unstructured content such as text and images More ❯

rich textual content Experience of Java programming can independently prototype solutions to problems Experience with Recommender System, NLP and Machine Learning libraries Experience with big data technologies (e.g. Hadoop, MapReduce, Cascading, Scalding, Scala) is desirable but not required Unix skills Experience with start-up and R&D environments Strong presentation skills in communicating with experts and novices Language requirements: Fluent More ❯

or major ML conferences; Experience with one lower level language (not limited to, but such as C++, Rust); Experience with large scale data processing and database tools such as MapReduce, Dask, SQL, Hugging Face Datasets, TileDB, Ray. What We Want You To Know We are a culture of collaboration and scientific excellence, and we believe in the values of inclusion More ❯