26 to 50 of 68 Amazon EMR Jobs

Engineer role Required Skills: Experience with big data tools: Hadoop, Spark, etc. Experience with relational SQL and NoSQL databases, including Postgres Experience with AWS cloud or remote services: EC2, EMR, RDS, Redshift Experience with stream-processing systems: Kafka, Storm, Spark-Streaming, etc. Experience with object-oriented/object function scripting languages: Python, Julia, Java, C++, Scala, etc. Experience with More ❯

and ensure consistency across various data sources. Document test results and provide detailed reports on data quality findings. Required Skills and Experience: Proven experience with AWS services such as EMR, Lambda, Redshift, Firehose, S3, Iceberg, Athena, and DynamoDB. Strong understanding of data ingestion, parsing, aggregation, and schema validation processes. Proficiency in SQL for data querying and validation. Experience with More ❯

moving Agile DevSecOps team that builds secure, scalable data platforms-and get paid weekly. What You'll Do Build OpenAPI-compliant APIs, data schemas, & pipelines in AWS (S3, RDS, EMR) Develop with Python (FastAPI, Django, Flask) & JavaScript (Node.js, Vue, React) Deploy containerized workloads in Kubernetes (AWS EKS, Rancher) with CI/CD Apply DevSecOps + security-first practices from More ❯

software solutions at one or more layers of the technical stack (data, application, UI) Programming languages, particularly Python, Java, Javascript, TypeScript, SQL Cloud application and data deployment in AWS (EMR, EKS, ECR, RDS, etc.) DevOps tools and services (Kubernetes, Terraform, Docker, Packer, etc.) Integration with applications and data across a platform (e.g. APIs) Developing software within Agile methodologies More ❯

multi-faceted organization Required Skills: Minimum of 4-7 years' demonstrated experience with: Kubernetes and Helm Charts Docker and/or Podman Containerization best practices AWS Services (EKS, Lambdas, EMR, ECR, VPC, etc.) Terraform Experience Preferred Skills/Experience: Terraform and Packer with AWS (AMIs, Environment, Configuration Automation, etc.) Database ORM Tools (Flyway, etc.) CI/CD Pipeline Automation More ❯

multi-faceted organization Required Qualifications: Minimum of 4-7 years' demonstrated experience with: Kubernetes and Helm Charts Docker and/or Podman Containerization best practices AWS Services (EKS, Lambdas, EMR, ECR, VPC, etc.) Terraform Experience Preferred Skills: Terraform and Packer with AWS (AMIs, Environment, Configuration Automation, etc.) Database ORM Tools (Flyway, etc.) CI/CD Pipeline Automation (Git, Jenkins More ❯

have: 4 years of experience with DevOps Experience with Kubernetes and Helm Charts Experience with Docker and/or Podman Containerization best practices Experience with AWS Services (EKS, Lambdas, EMR, ECR, VPC, etc.) Experience with Terraform Desired Skills: Terraform and Packer with AWS (AMIs, Environment, Configuration Automation, etc.) Database ORM Tools (Flyway, etc.) CI/CD Pipeline Automation (Git More ❯

years of experience with DevOps Engineering Experience with Kubernetes and Helm Charts Experience with Docker and/or Podman Experience with Containerization Experience with AWS Services (EKS, Lambdas, EMR, ECR, VPC, etc.) Experience with Terraform Bachelors degree Nice to have: Experience with Terraform and Packer with AWS (AMIs, Environment, Configuration Automation, etc.) Experience with Database ORM Tools (Flyway, etc. More ❯

as a technical liaison among system engineers, data scientists, analysts, and non-technical stakeholders to ensure aligned, mission-driven solutions. Key responsibilities include working with AWS cloud services (including EMR and Databricks), SQL database structures, and executing large-scale data migrations. The role also involves optimizing database architecture and performance, implementing DevSecOps practices, and building CI/CD pipelines More ❯

software solutions at one or more layers of the technical stack (data, application, UI) Programming languages, particularly Python, Java, Javascript, TypeScript, SQL Cloud application and data deployment in AWS (EMR, EKS, ECR, RDS, etc.) DevOps tools and services (Kubernetes, Terraform, Docker, Packer, etc.) Integration with applications and data across a platform (e.g. APIs) Developing software within Agile methodologies Preferred More ❯

deploying in Python -Experience with LLM or AI/ML pipelines and secure deployment of ML models in production -Experience deploying cloud-native architectures on AWS to include S3, EMR, EKS, IAM and Redshift -Experience with SQL to include optimizing queries with window functions, CTEs, and large datasets -Familiarity with Apache Airflow -Experience implementing FedRAMP/FISMA controls -Experience More ❯

deploying in Python -Experience with LLM or AI/ML pipelines and secure deployment of ML models in production -Experience deploying cloud-native architectures on AWS to include S3, EMR, EKS, IAM and Redshift -Experience with SQL to include optimizing queries with window functions, CTEs, and large datasets -Familiarity with Apache Airflow -Experience implementing FedRAMP/FISMA controls -Experience More ❯

will have strong Python development skills (must be able to design and write clean, maintainable, and testable code). Extensive AWS expertise, particularly across: Lambda Glue Glue Data Catalog EMR services API Gateway Relational database experience with Aurora Postgres (including query performance tuning). Spark experience, including pipelines using Spark on data stored in iceberg table format in S3 More ❯

software development lifecyclefrom design to deployment. Required Skills/Experience: Hands-on experience with data engineering tools such as Hadoop, Cloudera, and Apache Spark. Proficiency with AWS services including EMR Studio. Familiarity with CI/CD pipelines, GitHub, and version control workflows. Experience working with or maintaining an Analytics Repository. Collaborate with law enforcement, regulatory bodies, and other stakeholders More ❯

Description 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 meet their technical requirements and business objectives. You'll be a key player in … Engineering, related field, or equivalent experience - 3+ years of experience with data warehouse architecture, ETL/ELT tools, data engineering, and large-scale data manipulation using technologies like Spark, EMR, Hive, Kafka, and Redshift - Experience with relational databases, SQL, and performance tuning, as well as software engineering best practices for the development lifecycle, including coding standards, reviews, source control … a track record of working with large datasets and extracting value from them - Experience leading large-scale data engineering and analytics projects using AWS technologies like Redshift, S3, Glue, EMR, Kinesis, Firehose, and Lambda, as well as experience with non-relational databases and implementing data governance solutions Amazon is an equal opportunity employer and does not discriminate More ❯

years Preferred Qualifications: Experienced in Spark and Hive for big data processing Experience building job workflows with the Databricks platform Strong understanding of AWS products including S3, Redshift, RDS, EMR, AWS Glue, AWS Glue DataBrew, Jupyter Notebooks, Athena, QuickSight, EMR, and Amazon SNS Familiar with work to build processes that support data transformation, workload management, data More ❯

Job Details ETL Data Engineer Tech Stack & Core Skills:Advanced SQL (Big Data focused)Data Visualization (preferably Tableau)AWS (EMR, Lambda, S3, Step Functions, Athena )ETL Data EngineeringData AnalysisHeavyAI Soft Skills:Effective CommunicationAnalysis PresentationSelf-starterCuriousGrowth MindsetCollaboration Additional Preferences:PythonpySparkData ModelingStatistical Analysis We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or More ❯

enables zero down time Requirements Minimum of 4-7 years' demonstrated experience with Kubernetes and Helm Charts, Docker and/or Podman Containerization best practices AWS Services (EKS, Lambdas, EMR, ECR, VPC, etc.) Terraform Experience Preferred Terraform and Packer with AWS (AMIs, Environment, Configuration Automation, etc.) Database ORM Tools (Flyway, etc.) CI/CD Pipeline Automation (Git, Jenkins, Automated More ❯

deploying in Python -Experience with LLM or AI/ML pipelines and secure deployment of ML models in production -Experience deploying cloud-native architectures on AWS to include S3, EMR, EKS, IAM and Redshift -Experience with SQL to include optimizing queries with window functions, CTEs, and large datasets -Familiarity with Apache Airflow -Experience implementing FedRAMP/FISMA controls -Experience More ❯

and deploying in Python -Experience with LLM or AI/ML pipelines and secure deployment of ML models in production -Experience deploying cloud-native architectureson AWS to include S3, EMR, EKS, IAM and Redshift -Experience with SQL to include oprimizing queries with window functions, CTEs, and large datasets -Familiarity with Apache Airflow -Experience implementing FedRAMP/FISMA controls -Experience More ❯

deploying in Python -Experience with LLM or AI/ML pipelines and secure deployment of ML models in production -Experience deploying cloud-native architectures on AWS to include S3, EMR, EKS, IAM and Redshift -Experience with SQL to include optimizing queries with window functions, CTEs, and large datasets -Familiarity with Apache Airflow -Experience implementing FedRAMP/FISMA controls -Experience More ❯

on data projects You have experience of establishing data analytics and supporting AI solutions You have a 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) You have advanced client and stakeholder management skills What's in it for you: As a Data More ❯

on data projects You have experience of establishing data analytics and supporting AI solutions You have a 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) You have advanced client and stakeholder management skills What's in it for you: As a Data More ❯

and applications) to deliver end to end Cloud Infrastructure architectures and designs. Implementing with AWS services technologies and practices, building applications using services such as AWS EC2, ECS, Lambda, EMR, Cloud Formation. Coordinating with the team on engineering and continuous integration & delivery CI/CD practices. Executing with web, event driven, caching, batch architectures, designing systems for high throughput More ❯

internal and external API's, databases, and services. Cloud infrastructure is deployed using AWS C2S available services in the IDL VPC boundaries. Commonly used AWS tools include Managed OpenSearch, EMR, EC2, Lambdas, etc. Microservices and Kubernetes container orchestration is used to deploy applications in a managed way Working with the ISSM and various networking professionals to ensure data routing More ❯