1 to 25 of 62 Amazon EMR Jobs

Job ID: Amazon Web Services Australia Pty Ltd Are you a Senior Cloud Architect with GenAI consulting specialist? Do you have real-time Data Analytics, Data Warehousing, Big Data, Modern Data Strategy, Data Lake, Data Engineering and GenAI experience? Do you have senior stakeholder engagement experience to support pre-sales and deliver consulting engagements? Do you like to … learn and use services such as AWS Glue, Amazon S3, Amazon DynamoDB, Amazon Relational Database Service (RDS), Amazon Elastic Map Reduce (EMR), Amazon Kinesis, Amazon Redshift, Amazon Athena, AWS Lake Formation, Amazon DataZone, Amazon SageMaker, Amazon Quicksight and Amazon … to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most More ❯

Sr. Analytics GTM Specialist, GCR SSO (Service Specialist Orgnization) Job ID: Beijing Century Joyo Information Technology Co., Ltd. Shenzhen Branch Amazon Web Services, an Company, has been the world's leading cloud provider for more than 17 years with the most mature, comprehensive, and broadly adopted cloud platform. We have over 200 fully featured cloud services, managed from … globe. Millions of customers in over 240 countries - from the fastest growing start-ups to the largest enterprises, through to leading government agencies - all place their trust in Amazon Web Services to power their infrastructure, and deliver innovation. AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in … then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow. Amazon Web Services came to China in 2013, and has been relentlessly investing and expanding our infrastructure and business since then. Amazon Web Services launched its China (Beijing More ❯

Job ID: AWS EMEA SARL (Israel Branch) Amazon Web Services is seeking a Go-To-Market Specialist to deliver value for customers via AWS's analytics solutions. As a GTM specialist for this fast growing, exciting space you will have the opportunity to help drive the growth and shape the future of emerging technologies that will have an … AWS enablers including our data lake offering (including Apache Iceberg, Amazon Athena, AWS Glue data catalog), data warehousing (Amazon Redshift), BigData processing (Amazon EMR), search (Amazon Open Search Service), ETL (Amazon Glue), streaming (Amazon Kinesis and Amazon Managed Kafka), and Sagemaker Unified Studio brining these … business, product, and technical challenges, with the ability to build and convey compelling value propositions and work cross-organizationally to build consensus. This position is part of the Amazon Specialist and Partner Organization (ASP). Specialists own the end-to-end go-to-market strategy for their respective technology domains, providing the business and technical expertise to help More ❯

Location: (Hybrid) London, UK Job Type: Contract Job description Experience with AWS, Python & Azure Databricks is mandatory. Design, develop, and optimize ETL pipelines using AWS Glue, Amazon EMR and Kinesis for real-time and batch data processing. Implement data transformation, streaming, and storage solutions on AWS, ensuring scalability and performance. Collaborate with cross-functional teams to integrate … and manage data workflows. Skill set- Amazon Redshift, S3, AWS Glue, Amazon EMR, Kinesis Analytics Ensure data security, compliance, and best practices in cloud data engineering More ❯

Location: (Hybrid) London, UK Job Type: Contract Job description Experience with AWS, Python & Azure Databricks is mandatory. Design, develop, and optimize ETL pipelines using AWS Glue, Amazon EMR and Kinesis for real-time and batch data processing. Implement data transformation, streaming, and storage solutions on AWS, ensuring scalability and performance. Collaborate with cross-functional teams to integrate … and manage data workflows. Skill set- Amazon Redshift, S3, AWS Glue, Amazon EMR, Kinesis Analytics Ensure data security, compliance, and best practices in cloud data engineering More ❯

Location: (Hybrid) London, UK Job Type: Contract Job description Experience with AWS, Python & Azure Databricks is mandatory. Design, develop, and optimize ETL pipelines using AWS Glue, Amazon EMR and Kinesis for real-time and batch data processing. Implement data transformation, streaming, and storage solutions on AWS, ensuring scalability and performance. Collaborate with cross-functional teams to integrate … and manage data workflows. Skill set- Amazon Redshift, S3, AWS Glue, Amazon EMR, Kinesis Analytics Ensure data security, compliance, and best practices in cloud data engineering More ❯

Location: (Hybrid) London, UK Job Type: Contract Job description Experience with AWS, Python & Azure Databricks is mandatory. Design, develop, and optimize ETL pipelines using AWS Glue, Amazon EMR and Kinesis for real-time and batch data processing. Implement data transformation, streaming, and storage solutions on AWS, ensuring scalability and performance. Collaborate with cross-functional teams to integrate … and manage data workflows. Skill set- Amazon Redshift, S3, AWS Glue, Amazon EMR, Kinesis Analytics Ensure data security, compliance, and best practices in cloud data engineering More ❯

Location: (Hybrid) London, UK Job Type: Contract Job description Experience with AWS, Python & Azure Databricks is mandatory. Design, develop, and optimize ETL pipelines using AWS Glue, Amazon EMR and Kinesis for real-time and batch data processing. Implement data transformation, streaming, and storage solutions on AWS, ensuring scalability and performance. Collaborate with cross-functional teams to integrate … and manage data workflows. Skill set- Amazon Redshift, S3, AWS Glue, Amazon EMR, Kinesis Analytics Ensure data security, compliance, and best practices in cloud data engineering More ❯

Sr. Delivery Consultant - Data Analytics, Professional Services Job ID: Amazon Web Services Colombia S.A.S. - E40 The Professional Services (ProServe) team is seeking a skilled Sr. Delivery Consultant - Data Analytics to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that … AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Athena, Glue, Lambda, S3, DynamoDB, Amazon EMR and Amazon Redshift. Since this is a customer facing role, you might be required to travel to client locations and deliver professional services when needed, up to … to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most More ❯

data processing) Apache Spark Streaming, Kafka or similar (for real-time data streaming) Experience using data tools in at least one cloud service - AWS, Azure or GCP (e.g. S3, EMR, Redshift, Glue, Azure Data Factory, Databricks, BigQuery, Dataflow, Dataproc Would you like to join us as we work hard, have fun and make history? Apply for this job indicates More ❯

data processing) Apache Spark Streaming, Kafka or similar (for real-time data streaming) Experience using data tools in at least one cloud service - AWS, Azure or GCP (e.g. S3, EMR, Redshift, Glue, Azure Data Factory, Databricks, BigQuery, Dataflow, Dataproc) Would you like to join us as we work hard, have fun and make history? Apply for this job indicates More ❯

. Architect and implement integration solutions using modern tech stacks including Kafka , Kinesis , and API Gateway . Process and analyze structured and unstructured data using Spark , Amazon EMR , and PySpark . Manage and monitor AWS infrastructure including EC2, ECS, Lambda, S3, RDS, DynamoDB, Glue ETL, Redshift, and CloudFormation. Implement CI/CD pipelines using Jenkins , Terraform , Gradle More ❯

Sr Delivery Consultant (AI/ML), Professional Services Job ID: AWS EMEA SARL (UK Branch) The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that … for business problems - Interact with customer directly to understand the business problem, help and aid them in implementation of their ML ecosystem - Effectively use Foundation Models available on Amazon Bedrock and Amazon SageMaker to meet our customer's performance needs - Analyze and extract relevant information from large amounts of historical data to help automate and optimize … in English, within technical and business settings. PREFERRED QUALIFICATIONS - AWS experience preferred, with proficiency in a wide range of AWS services (Amazon SageMaker, Amazon Bedrock, EMR, S3 and EC2) - AWS Certification (Solution Architect Associate, Machine Learning Engineer Associate) - Working knowledge of generative AI and hands on experience in prompt engineering, deploying and hosting Large Foundational More ❯

verbal skills, able to translate concepts into easily understood diagrams and visuals for both technical and non-technical people alike. AWS cloud products (Lambda functions, Redshift, S3, AmazonMQ, Kinesis, EMR, RDS (Postgres . Apache Airflow for orchestration. DBT for data transformations. Machine Learning for product insights and recommendations. Experience with microservices using technologies like Docker for local development. Apply More ❯

Key Skills & Experience: Proven experience as a Senior/Lead Data Engineer in a large-scale environment. Strong expertise with AWS data services (e.g., S3, Glue, Lambda, Redshift, Athena, EMR). Experience designing and building data lakes and modern data platforms. Proficiency with Python, SQL, and data pipeline orchestration tools (e.g., Airflow, dbt). Strong understanding of data modelling More ❯

the following: Python, SQL, 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 frameworks, CI/CD, and code More ❯

be a fit if you have: Expertise in Cloud-Native Data Engineering: 3+ years building and running data pipelines in AWS or Azure, including managed data services (e.g., Kinesis, EMR/Databricks, Redshift, Glue, Azure Data Lake). Programming Mastery: Advanced skills in Python or another major language; writing clean, testable, production-grade ETL code at scale. Modern Data More ❯

Pytest and Postman. Expertise in Pandas, SQL, and AWS analytics services (Glue, Athena, Redshift) for data profiling, transformation, and validation within data lakes. Solid experience with AWS (S3, Lambda, EMR, ECS/EKS, CloudFormation/Terraform) and understanding of cloud-native architectures and best practices. Advanced skills in automating API and backend testing workflows, ensuring robust and reliable system More ❯

to share knowledge with your peers) Nice To Have Knowledge of systems design within a modern cloud-based environment (AWS, GCP) including AWS primitives such as IAM, S3, RDS, EMR, ECS and more Advanced experience working and understanding the tradeoffs of at least one of the following Data Lake table/file formats: Delta Lake, Parquet, Iceberg, Hudi Previous More ❯

Tools: Gradle (Build automation tool), Jenkins (CI/CD automation server) Configuration Management/Infrastructure as Code: Ansible, Terraform Cloud Services (Primarily AWS): AWS Lambda, AWS Step Functions, AWS EMR (Elastic MapReduce), AWS Networking, VPC, DynamoDB Databases: DB2, PostgreSQL, MariaDB, Oracle, Operating Systems/Platforms: Linux, Mainframe (legacy computing platform), Containerization/Orchestration: Containers (Kubernetes) Monitoring/Alerting: Alerting More ❯

optimised and efficient data marts and warehouses in the cloud) Work with Infrastructure as code (Terraform) and containerising applications (Docker) Work with AWS, S3, SQS, Iceberg, Parquet, Glue and EMR for our Data Lake Experience developing CI/CD pipelines More information: Enjoy fantastic perks like private healthcare & dental insurance, a generous work from abroad policy, 2-for More ❯

optimised and efficient data marts and warehouses in the cloud) Work with Infrastructure as code (Terraform) and containerising applications (Docker) Work with AWS, S3, SQS, Iceberg, Parquet, Glue and EMR for our Data Lake Experience developing CI/CD pipelines More information: Enjoy fantastic perks like private healthcare & dental insurance, a generous work from abroad policy, 2-for More ❯

GraphQL, API Design. * N-tier, Cloud- native, Server less, Micro service, Event-Driven architecture. * TOGAF 9, Agile, Incremental, Waterfall, TDD, DDD, BDD. * AWS (EC2, ECS, Fargate, Lambda, Route53, RDS, EMR jobs, AWS secrete manger, event bridge, Cloud Watch), GCP (Big query, GCS bucket). * Kubernetes/Docker * Command, Chain of Responsibility, Builder, SAGA, CQRS, Event Sourcing * RDBMS & NOSQL: Aurora More ❯

GraphQL, API Design. * N-tier, Cloud- native, Server less, Micro service, Event-Driven architecture. * TOGAF 9, Agile, Incremental, Waterfall, TDD, DDD, BDD. * AWS (EC2, ECS, Fargate, Lambda, Route53, RDS, EMR jobs, AWS secrete manger, event bridge, Cloud Watch), GCP (Big query, GCS bucket). * Kubernetes/Docker * Command, Chain of Responsibility, Builder, SAGA, CQRS, Event Sourcing * RDBMS & NOSQL: Aurora 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 ❯