101 to 125 of 279 Amazon EMR Jobs

Experience with proactive management and team ownership of cloud infrastructure Beneficial Experience: AWS certifications Familiarity with SIEM solutions and Security Incident Management Cybersecurity awareness or certification Data engineering familiarity (EMR, ETL) Coaching or mentoring experience Key Behaviours: Excellent problem-solving skills Flexibility to experiment and adapt quickly based on results Strong team collaboration and communication skills Proactive ownership of More ❯

including Active Directory, Okta, OAuth, SAML Experience working with CMS, Medicare/Medicaid, or healthcare/insurance data environments. Familiarity with AWS data and analytics tools such as S3, EMR, IAM, Quicksight, SageMaker, Hive, Ranger/Knox, Airflow, Ambari, Jupyter, Zepelin, and Lustre. Experience with Jenkins, GitHub Actions, IaC best practices, and cloud monitoring/alerting solutions. CMS and More ❯

reliability. Proficiency in SQL with a solid understanding of data models; knowledge of Python is preferred. Working knowledge of AWS cloud services (e.g., EC2, ECS, Load Balancer, Security Group, EMR, Lambda, S3, Glue). Experience in DevOps development and deployment using Docker and containers. Proficiency in development environments such as IDEs, web & application servers, Git, Azure DevOps, and other More ❯

Data Engineer I, Amazon Last Mile - Routing and Planning - DE As part of the Last Mile Science & Technology organization, you’ll partner closely with Product Managers, Data Scientists, and Software Engineers to drive improvements in Amazon's Last Mile delivery network. You will leverage data and analytics to generate insights that accelerate the scale, efficiency, and … skills for this role. Key job responsibilities • Design, implement, and support data warehouse/data lake infrastructure using AWS big data stack, Python, Redshift, Quicksight, Glue/lake formation, EMR/Spark/Scala, Athena etc. • Extract huge volumes of structured and unstructured data from various sources (Relational/Non-relational/No-SQL database) and message streams and … language (e.g., Python, KornShell) - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience PREFERRED QUALIFICATIONS - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience with big data processing technology (e.g., Hadoop or ApacheSpark), data warehouse technical architecture, infrastructure components, ETL, and reporting/analytic tools and environments Our inclusive culture empowers Amazonians More ❯

Amazon never asks for fees or deposits in any form during the recruitment process. Please click here to learn more and safeguard yourself from potential frauds. About Amazon Music & the DISCO Team Amazon Music handles vast amounts of data. The DISCO (Data, Insights, Science & Optimization) team enables the Consumer Product Tech organization to make … this role is for you. You will work with billions of events daily, managing petabyte-scale data on Redshift and S3, and develop data pipelines using Spark/Scala EMR, SQL ETL, Airflow, and Java services. We seek a talented, enthusiastic, and detail-oriented Data Engineer to design, analyze, model, and operate big data pipelines. You will help build … warehousing, and ETL pipelines Proficiency in SQL Experience with scripting languages like Python or KornShell Unix experience Troubleshooting data and infrastructure issues Preferred Qualifications Experience with Hadoop, Hive, Spark, EMR Experience with ETL tools like Informatica, ODI, SSIS, BODI, DataStage Knowledge of distributed storage and computing systems Experience with reporting and analytics platforms We promote an inclusive culture and More ❯

to support business growth. Responsibilities: Work with teams to understand objectives, data needs, and analytics goals. Develop data analysis strategies using AWS tools like Amazon Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for data ingestion and transformation. Apply statistical and machine learning techniques for predictive and segmentation analyses. Create dashboards and KPIs with … Amazon QuickSight for decision-making. Perform exploratory data analysis to identify trends and insights. Collaborate on data architecture, quality, and governance improvements. Requirements: Bachelor's … or master's degree in Computer Science, Statistics, Mathematics, or related field. Experience as a Data Scientist, especially with AWS analytics services. Proficiency in AWS tools like Redshift, Athena, EMR, and QuickSight. Understanding of data modeling, ETL, and warehousing concepts. Skills in statistical analysis, data mining, and machine learning. Programming skills in Python, R, or Scala. Experience with SQL More ❯

to support business growth. Responsibilities Collaborate with teams to understand objectives and define analytics goals. Develop data analysis strategies using AWS tools such as Amazon Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for data extraction and transformation. Apply statistical and machine learning techniques for predictive and pattern analysis. Develop KPIs and dashboards using … Amazon QuickSight for decision-making. Perform exploratory data analysis to identify trends and insights. Work with data engineers on data architecture, quality, and governance in AWS. Requirements Bachelor's … or master's degree in Computer Science, Statistics, Mathematics, or related fields. Experience as a Data Scientist, preferably with AWS analytics services. Proficiency in AWS tools like Redshift, Athena, EMR, and QuickSight. Understanding of data modeling, ETL, and warehousing concepts. Skills in statistical analysis, machine learning, and programming languages such as Python, R, or Scala. Experience with SQL, NoSQL More ❯

We are seeking an ambitious Programmer Analyst to join our Metrics and Data Platform team. The Metrics and Data Platform team plays a critical role in enabling Amazon Music’s business decisions and data-driven software development by collecting and providing behavioral and operational metrics to our internal teams. We maintain a scalable and robust data platform to … support Amazon Music’s rapid growth, and collaborate closely with data producers and data consumers to accelerate innovation using data. As a Programmer Analyst, you will collaborate with product and technical stakeholders to improve Amazon Music operations by solving challenging data and infrastructure efficiency problems that span many systems. You will own and drive improvements to … using analytical tools, such as Tableau, Looker, QuickSight, or Amplitude - Experience in system/architecture design - AWS development experience (Lambda/Redshift/Kinesis/SQS/SNS/EMR/S3) - Experience using big data technologies (EMR, Kinesis, Spark, S3, Redshift, DynamoDB, Airflow, etc) - Ability to quickly ramp up with new technologies - Excel at managing functional and More ❯

of the rekindle returnship program. "Note: For more details on rekindle program, pls visit - " Come be a part of a rapidly expanding $35 billion-dollar global business. At Amazon Business, a fast-growing startup passionate about building solutions, we set out every day to innovate and disrupt the status quo. We stand at the intersection of tech & retail … working in one of the world's largest cloud-based data lakes. You should be skilled in the architecture of data warehouse solutions for the Enterprise using multiple platforms (EMR, RDBMS, Columnar, Cloud). You should have extensive experience in the design, creation, management, and business use of extremely large datasets. You should have excellent business and communication skills … our needs. - 3+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines - Experience with SQL - 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) Our More ❯

business growth. Responsibilities: Collaborate with teams to understand objectives, define data requirements, and set analytics goals. Develop data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes to load data into AWS for analysis. Apply statistical and machine learning techniques for predictive and segmentation analyses. Identify key metrics … develop KPIs, and create dashboards with Amazon QuickSight. Perform exploratory data analysis to find trends and insights for product and user engagement improvements. Work with data engineers to optimize data architecture, quality, and … governance in AWS. Requirements: Bachelor's or master's degree in related fields. Experience as a Data Scientist, especially with AWS analytics. Proficiency in AWS services like Redshift, Athena, EMR, QuickSight. Understanding of data modeling, ETL, warehousing. Skills in statistical analysis, data mining, machine learning. Programming skills in Python, R, or Scala. Experience with SQL, NoSQL, visualization tools, and More ❯

Amazon Last Mile DSP is seeking an extraordinary Data Engineer to join the DSP Analytics team. At Amazon, we are working to be the most customer-centric company on earth -- including how we fulfill and deliver customer orders. The goal of Amazon’s Service Partner (DSP) Team is to exceed the expectations of our … customers by ensuring that their orders, no matter how large or small, are delivered as quickly, accurately, and cost effectively as possible. To meet this goal, Amazon is continually striving to innovate and provide best in class experience through the introduction of pioneering new products and services in the last mile space. This person will play a key … 3+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines - Experience with SQL 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) Our More ❯

develop data-driven solutions to support business growth. Responsibilities Understand business objectives and define analytics goals. Develop data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design and build data pipelines and ETL processes. Apply statistical and machine learning techniques for predictive and pattern analyses. Develop KPIs, dashboards, and visualizations to enable decision … Bachelor's or master's in Computer Science, Statistics, Mathematics, or related field. Experience as a Data Scientist, preferably with AWS analytics. Proficiency in AWS services like Redshift, Athena, EMR, QuickSight. Understanding of data modeling, ETL, and warehousing concepts. Skills in statistical analysis, data mining, machine learning. Programming skills in Python, R, or Scala. Experience with SQL, NoSQL, visualization More ❯

all domains fully but should be able to show strong capability in their core areas: Cloud Data Platforms Azure Synapse Analytics, Microsoft Fabric, Azure Data Lake, Azure SQL Amazon Redshift, AWS Athena, AWS Glue Google BigQuery, Google Cloud Storage, Dataproc Artificial Intelligence & Machine Learning Azure OpenAI, Azure Machine Learning Studio, Azure AI Foundry AWS SageMaker … Amazon Bedrock Google Vertex AI, TensorFlow, scikit-learn, Hugging Face Data Engineering & Big Data Azure Data Factory, Azure Databricks, Apache Spark, Delta Lake AWS Glue ETL, AWS EMR Google Dataflow, Apache Beam Business Intelligence & Analytics Power BI, Amazon QuickSight, Looker Studio Embedded analytics and interactive dashboarding solutions Cloud Architecture Azure App Services, Virtual Machines, Functions More ❯

moving or finance-oriented environments Proficiency in Python (preferred), with experience in other languages like Java, Scala, or TypeScript Strong knowledge of cloud-based big data tools (AWS, Spark, EMR, Lambda, etc.) Excellent communication and problem-solving skills, with a collaborative mindset A passion for supporting SMEs through innovative, data-led technology Background in top-tier financial or analytics More ❯

Apache NiFi. Experience with containerization and orchestration tools like Docker and Kubernetes. Knowledge of time-series or analytics databases such as Elasticsearch. Experience with AWS services like S3, EC2, EMR, Redshift. Familiarity with data monitoring and visualization tools such as Prometheus and Grafana. Experience with version control tools like Git. Understanding of Data Warehouse and ETL concepts; familiarity with More ❯

Engineer to join our Engineering team in London. We design, develop, and operate all data systems across the company, including ETL processes, data warehouses, real-time click streams, and EMR to support content personalization. We aim to evolve our architecture and technology stack, primarily using Python, with some systems in PHP currently migrating to Python. Our infrastructure is managed More ❯

to join our Engineering team in London. Our team designs, develops, and operates all data systems across the company, including ETL processes, data warehouses, real-time click streams, and EMR to support content personalization for our users. We are looking for someone to help us evolve our data architecture and technology stack. Our primary programming language is Python, although More ❯

data integrity and security. Collaboration: Work closely with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and deliver solutions. Requirements: AWS: S3, Lambda, EMR, SMS, SQS, and additional services related to data infrastructure Terraform Databricks Data Lake, Warehouse, Lakehouse architecture and design Python/Pyspark Data platforms and notebooks: Jupyter, Databricks, Azure Gitlab More ❯

and expanding applied experience Hands-on practical experience in system design, application development, testing, and operational stability Cloud implementation experience with AWS including: AWS Data Services: Glue ETL (or) EMR, S3, Glue Catalog, Athena, Lambda + Step Functions + Event Bridge, ECS Data De/Serialization: Parquet and JSON format AWS Data Security: Good Understanding of security concepts such More ❯

of the Software Development Life Cycle, agile methodologies such as CI/CD, Application Resiliency, and Security Cloud implementation experience with AWS including: AWS Data Services: Glue ETL (or) EMR, S3, Glue Catalog, Athena, Lambda + Step Functions + Event Bridge, ECS Data De/Serialization: Parquet and JSON format AWS Data Security: Good Understanding of security concepts such More ❯

oriented design, and design patterns. Additional Preferred Qualifications: Domain knowledge in the Financial Industry and Capital Markets. Working knowledge of AWS cloud services (EC2, ECS, Load Balancer, Security Group, EMR, Lambda, S3, Glue, etc.). Experience in DevOps development and deployment using Docker and containers. Front end development toolchains Experience in Java and Microservices About S&P Global Ratings More ❯

documentation, and implement solutions effectively. Additional Preferred Qualifications: Domain knowledge in the Financial Industry and Capital Markets. Working knowledge of AWS cloud services (EC2, ECS, Load Balancer, Security Group, EMR, Lambda, S3, Glue, etc.). Experience in DevOps development and deployment using Docker and containers. About S&P Global Ratings At S&P Global Ratings, our analyst-driven credit More ❯

Data Engineer, Amazon Web Services, AWS Data Platform AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member … way to disrupt the data warehouse industry. We are accomplishing this vision by leveraging relational database technologies like Redshift along with emerging Big Data technologies like Elastic Map Reduce (EMR) to build a data platform capable of scaling with the ever-increasing volume of data produced by AWS services. The successful candidate will shape and build AWS' data lake … growth. BASIC QUALIFICATIONS - 3+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines 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) Our More ❯

Are you excited about the digital media revolution and passionate about designing and delivering advanced analytics that directly influence the product decisions of Amazon's digital businesses? Do you see yourself as a champion of innovating on behalf of the customer by turning data insights into action? The Amazon Digital Acceleration (DA) Analytics team is looking … skilled individual to join our team. In this role, you will play a critical part in developing foundational data instrumentation components to seamlessly surface relevant digital content to Amazon customers. An ideal individual is someone who has deep data engineering skills around ETL, data modeling, database architecture, and big data solutions. You should have strong business judgment, excellent … 3+ years of data engineering experience Experience with data modeling, warehousing, and building ETL pipelines Experience with SQL 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) Our More ❯

to develop data-driven solutions that support business growth. Responsibilities: Work with teams to understand data needs and analytics goals. Use AWS tools like Amazon Redshift, Athena, EMR, and QuickSight for data analysis. Create data pipelines and ETL processes for data integration. Apply statistical and machine learning techniques for analysis and modeling. Develop KPIs and dashboards to … Bachelor's or master's in Computer Science, Statistics, Mathematics, or related field. Experience as a Data Scientist, especially with AWS analytics. Proficiency in AWS tools like Redshift, Athena, EMR, QuickSight. Knowledge of data modeling, ETL, data warehousing. Skills in statistical analysis, machine learning, Python/R/Scala. Experience with SQL, NoSQL, and data visualization tools. Strong analytical More ❯