126 to 150 of 200 Amazon EMR Jobs in England

Job ID: Amazon EU SARL (UK Branch) The EU Amazon Vendor Services (AVS) and Retail Vendor Experience (VX) Program teams are seeking a Data Engineer to design and implement scalable data solutions and pipelines that can meaningfully contribute to both programs. This role is pivotal in addressing major challenges that enhance vendor success, satisfaction, and growth … on Amazon, contributing directly to our long-term strategy. Amazon's mission is to be Earth's most customer-centric company, where customers can discover anything they want to buy online at competitive prices, with vast selection and convenience. Core to this mission is our commitment to delighting not only customers but also vendors by inventing … warehousing and building ETL pipelines - Experience with SQL - Experience as a Data Engineer or in a similar role PREFERRED QUALIFICATIONS - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - Experience with non-relational databases/data stores (object storage, document or key-value stores, graph databases, column-family databases) Amazon More ❯

data-driven solutions to support business growth. Responsibilities: Work with teams to understand objectives and define analytics goals. Develop strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for data extraction and transformation. Apply statistical and machine learning techniques for analysis and pattern recognition. Develop KPIs and dashboards using … Amazon QuickSight for decision-making. Perform exploratory data analysis to uncover insights. Collaborate with data engineers on data architecture and governance in AWS. Requirements: Bachelor's or master's degree in relevant fields. Experience as a Data Scientist, preferably with AWS. Proficiency in AWS analytics tools. Understanding of data modeling, ETL, and warehousing. Skills in statistical analysis, machine More ❯

Do you want a role with deep meaning and the ability to make a massive impact? Hiring top talent is not only critical to Amazon's success-it can literally change the world. It took a lot of great hires to deliver innovations like AWS, Prime, and Alexa, which make life better for millions of customers around the … day. As part of the Intelligent Talent Acquisition (ITA) team, you'll have the opportunity to reinvent the hiring process and deliver unprecedented scale, sophistication, and accuracy that Amazon's Talent Acquisition operations need. ITA is an industry-leading people science and technology organization made up of scientists, engineers, analysts, product professionals and more. Our shared goal is …/SQL, DDL, MDX, HiveQL, SparkSQL, Scala) - Experience with one or more scripting language (e.g., Python, KornShell) PREFERRED QUALIFICATIONS - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a More ❯

growth. Responsibilities Collaborate with teams to understand objectives, define data requirements, and set analytics goals. Develop and implement analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for diverse data sources. Apply statistical and machine learning techniques for predictive and pattern analyses. Identify key metrics, develop KPIs, and More ❯

and Pyspark AWS glue jobs assembled into Step functions Pydeequ for data quality testing Amazon Athena for querying data Hosted on AWS, using S3, Glue, Step functions, EMR, and Athena Terraform for Infrastructure as Code Our code is open source and we use Git and GitHub for source control If you are interested in this role, please More ❯

role. Experience of deploying & managing cloud infrastructure for Big Data applications. Hands-on experience of working with AWS services, including but not limited to EC2, S3, RDS, Lambda, Glue, EMR, VPC, IAM, etc. Good experience in setting up reliable & scalable cloud networking that is highly secured. Extensive experience with Terraform, including writing, testing, and deploying Terraform scripts. Strong understanding More ❯

Experience with relational SQL and NoSQL databases, including Postgres and Cassandra. Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc. Experience with AWS cloud services: EC2, EMR, RDS, Redshift. Experience with stream-processing systems: Storm, Spark-Streaming, etc. Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc. Salary: 30000 per annum More ❯

a progressive member of the engineering community. We are looking for an experienced Data Engineer confident in investigating, ingesting, and exploiting large datasets with core skills in Python, Pyspark, EMR, AWS, SQL, CI/CD. At Sainsburys Tech, within the Media Agency, we’re unlocking petabytes of untapped potential. We have thousands of shops and millions of customers creating More ❯

strong problem-solving orientation. Excellent communication and collaboration skills. Nice to Have Experience with containerization tools (Docker, Kubernetes, Helm). Hands-on work with AWS services (e.g., Lambda, S3, EMR). Familiarity with DataOps practices , data modeling and data warehousing concepts. Knowledge of security best practices (certificates, encryption). Comfortable working in an Agile development environment with strong testing More ❯

developing GenAI models and building agent AI systems Our technology stack Python and associated ML/DS libraries (Scikit-learn, Numpy, LightlGBM, Pandas, TensorFlow, etc...) PySpark AWS cloud infrastructure: EMR, ECS, S3, Athena, etc. MLOps: Terraform, Docker, Airflow, MLFlow, Jenkins More Information Enjoy fantastic perks like private healthcare & dental insurance, a generous work from abroad policy, 2-for More ❯

Data quality/validation experience: designing metrics and KPIs to verify and automate management of data quality. Good working experience of AWS (e.g. S3, Kinesis, Glue, Redshift, Lambda and EMR) and/or Azure data services (e.g. ADF, Synapse, Fabric, Azure Functions). Experience working with Defence or Central Government clients. Working experience in Data Lakehouse environments such as More ❯

Are you analytically sharp and passionate about applying advanced analytics to impact business decisions? Come and be a driving force of Amazon's International Emerging Stores Shopping experience team. The Amazon IES Shopping team owns the charter for defining the shopping experience across multiple category needs for Amazon's emerging markets. We are a … country whom we serve. Key job responsibilities Build scalable solutions and self-serve platforms that provide data/KPIs to inform business decision-making. Investigate data sources across Amazon and expand existing device data infrastructure. Identify, develop, manage, and execute analyses to uncover opportunities and present written business recommendations to grow the business. Develop a thorough understanding of … years of hands-on experience writing SQL queries. Experience with building and maintaining basic data artifacts (e.g., ETL, data models, queries). Experience with AWS services including S3, Redshift, EMR, Kinesis, and RDS. Experience in working and delivering end-to-end projects independently. Knowledge of distributed systems as it pertains to data storage and computing. Experience with data visualization More ❯

Job ID: 2962686 | Amazon (China) Holding Company Limited Amazon ATE (Analytics Technology and Engineering) team is seeking for a contractor Data Engineer of deep expertise in creation and management of datasets. The role is responsible to build data analytical solutions that will address increasingly complex business questions, as an expert at implementing and operating stable, scalable …/SQL, DDL, MDX, HiveQL, SparkSQL, Scala) - Experience with one or more scripting language (e.g., Python, KornShell) PREFERRED QUALIFICATIONS - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a … months ago) Posted: March 26, 2025 (Updated 2 months ago) Posted: October 14, 2024 (Updated 18 days ago) Posted: November 7, 2024 (Updated about 2 months ago) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. #J-18808-Ljbffr More ❯

Data Engineer I, Business Data Technologies Business Data Technologies (BDT) makes it easier for teams across Amazon to produce, store, catalog, secure, move, and analyze data at massive scale. Our managed solutions combine standard AWS tooling, open-source products, and custom services to free teams from worrying about the complexities of operating at Amazon scale. This … on scaling the value they can glean from their data, both for their customers and their teams. We own the one of the biggest (largest) data lakes for Amazon where 1000's of Amazon teams can search, share, and store EB (Exabytes) of data in a secure and seamless way; using our solutions, teams around the …/SQL, DDL, MDX, HiveQL, SparkSQL, Scala) - Experience with one or more scripting language (e.g., Python, KornShell) PREFERRED QUALIFICATIONS - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc. - Knowledge of cloud services such as AWS or equivalent Our inclusive culture empowers Amazonians to deliver the More ❯

solutions that support business growth. Responsibilities: Collaborate with teams to understand objectives and define analytics goals. Develop data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for data extraction, transformation, and loading into AWS. Apply statistical and machine learning techniques for predictive and pattern analyses. Develop KPIs … and dashboards for decision-making using Amazon QuickSight. Perform exploratory data analysis to uncover insights for product and user behavior improvements. Work with data engineers on data architecture, quality, and governance in AWS. Requirements: Bachelor's or master's degree in relevant fields. Experience as a Data Scientist in cloud environments, especially AWS. Proficiency in AWS analytics tools More ❯

process billions of records a day in a scalable fashion using AWS technologies? Do you want to create the next-generation tools for intuitive data access? If so, Amazon Finance Technology (FinTech) is for you! FinTech is seeking a Data Engineer to join the team that is shaping the future of the finance data platform. The team is … committed to building the next generation big data platform that will be one of the world's largest finance data warehouse to support Amazon's rapidly growing and dynamic businesses, and use it to deliver the BI applications which will have an immediate influence on day-to-day decision making. Amazon has culture of data-driven …/SQL, DDL, MDX, HiveQL, SparkSQL, Scala) - Experience with one or more scripting language (e.g., Python, KornShell) PREFERRED QUALIFICATIONS - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a More ❯

role The Supply Chain, Transportation Planning & Operational Excellence (EU STEP) is a team responsible for the end-to-end flow of goods from our vendors and sellers to Amazon customers all over Europe, in order to ensure a speedy and reliable customer delivery in the cheapest way possible. The STEP organization is all about network design and tactical … art solution in transportation planning and network design, ensuring that end to end transportation strategies are streamlined and optimized. The impact of your work will be in the Amazon EU global network. Key job responsibilities • Design and develop tools to automate standardized processes and optimize trade-offs across the full decision space. • Develop relationships with internal and external … company - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience operating large data warehouses - Bachelor's/Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent Amazon is an equal opportunities employer. More ❯

part of the team, responsible for helping to evolve our Data Service, BI architecture, and tools. The current technology stack is Linux based running within AWS, built upon Spark EMR, Kafka, EKS, Angular, and Java to provide a modern streaming and scalable platform. The right candidate will be seeking to share ideas and improve the overall design, always committed … of region. Self-driven individual with an ability to work under pressure. Additional Skills Experience in migrating or creating data warehouses in AWS utilizing the following tools: EC2, S3, EMR, Athena, and Redshift. Experience with Tableau or comparable Business Intelligence tools. Understanding of financial services instruments is a huge plus. More ❯

with big data technologies such as Hadoop, Hive, Spark, EMR. Experience with ETL tools like Informatica, ODI, SSIS, BODI, or DataStage. We promote an inclusive culture that empowers Amazon employees to deliver the best results for our customers. If you have a disability and require workplace accommodations during the application, hiring, interview, or onboarding process, please visit this … link for more information. If your country or region isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate based on veteran status, disability, or other protected categories. #J-18808-Ljbffr More ❯

ETL processes using tools such as Informatica PowerCenter and BDM, AutoSys, Airflow, and SQL Server Agent. Experience with cloud platforms preferably AWS. Strong knowledge of AWS cloud services, including EMR, RDS Postgres, Redshift Athena, S3, and IAM. Solid understanding of data warehousing principles and best practices. Strong proficiency in SQL for data manipulation, reporting, and optimization. Knowledge of data More ❯

Commercial experience in both backend and frontend engineering Hands-on experience with AWS Cloud-based applications development, including EC2, ECS, EKS, Lambda, SQS, SNS, RDS Aurora MySQL & Postgres, DynamoDB, EMR, and Kinesis. Strong engineering background in machine learning, deep learning, and neural networks. Experience with containerized stack using Kubernetes or ECS for development, deployment, and configuration. Experience with Single More ❯

implementing CI/CD pipelines Familiar with observability tools, logging frameworks, and performance monitoring Background in serverless technologies (e.g., Lambda, Step Functions, API Gateway) Experience with data tools like EMR, Glue, or Apache Spark Understanding of event-driven architecture (EventBridge, SNS, SQS) Knowledge of AWS database offerings including DynamoDB and RDS Familiarity with multi-region deployments and failover strategies More ❯

/CD pipelines Familiar with observability tools, logging frameworks, and performance monitoring Desirable Skills: Background in serverless technologies (e.g. Lambda, Step Functions, API Gateway) Experience with data tools like EMR, Glue, or Apache Spark Understanding of event-driven architecture (EventBridge, SNS, SQS) Knowledge of AWS database offerings including DynamoDB and RDS Familiarity with multi-region deployments and failover strategies More ❯

/CD pipelines Familiar with observability tools, logging frameworks, and performance monitoring Desirable Skills: Background in serverless technologies (e.g. Lambda, Step Functions, API Gateway) Experience with data tools like EMR, Glue, or Apache Spark Understanding of event-driven architecture (EventBridge, SNS, SQS) Knowledge of AWS database offerings including DynamoDB and RDS Familiarity with multi-region deployments and failover strategies More ❯

/CD pipelines Familiar with observability tools, logging frameworks, and performance monitoring Desirable Skills: Background in serverless technologies (e.g. Lambda, Step Functions, API Gateway) Experience with data tools like EMR, Glue, or Apache Spark Understanding of event-driven architecture (EventBridge, SNS, SQS) Knowledge of AWS database offerings including DynamoDB and RDS Familiarity with multi-region deployments and failover strategies More ❯