26 to 50 of 261 Amazon EMR Jobs

least 10 years of experience in data engineering, data architecture, or software engineering. Proficiency in Python and SQL Proficient in AWS data services such as S3, Glue, Athena, Redshift, EMR, Kinesis, Lambda, etc. Strong knowledge of data lake concepts, architectures, and design patterns. Experience in building and managing data pipelines using tools such as Airflow, Spark, Kinesis etc. Experience More ❯

ll have experience working in teams to design, build, and maintain large scale data solutions and applications using AWS data and analytics services (or open-source equivalent) such as EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB. Your team members will look to you as a trusted expert and will expect you to define the end-to-end software development lifecycle More ❯

Business Intelligence Engineer, Japan Operations The Amazon ARTS (APEX-RoW Technology Solutions) team is looking for a Business Intelligence Engineer to optimize in one of the world's largest and most complex data warehouse environments. You are expected being passionate about working with huge database and someone who loves to bring datasets together to create dashboards and business … and database infrastructure across RoW; 2) help business stakeholders to provide data pipeline solutions with Amazon/ARTS internal tech products and AWS services (e.g. Redshift, SageMaker, EMR, ETL tools, data lake); 3) develop scripts for maintenance automation; 4) execute the tech implementation with a clear milestone planning and lead it to smooth launch; 5) help business … India, Japan, Australia, Brazil, Mexico, Singapore, Turkey and MENA. BASIC QUALIFICATIONS - Experience with scripting language (e.g., Python, Java, or R) - Experience with AWS tools and technologies (Redshift, S3, SageMaker, EMR, Lambda) - Business level communication skills in Japanese (listening, speaking, reading, writing) - Ability to read and write in English (ex. e-mail, slack communication) - Interested in working with diverse team More ❯

passionate Data Engineer to drive innovations in translation analytics space to create the data pipelines handling large volume data and help our customer's to analyze and understand Amazon Translation coverage across the languages.We support Translation Services in making data-driven decisions by providing easy access to data and self-serve analytics. We work closely with internal stakeholders … essential Translation Services metrics. If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply! BASIC … SQL - Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS 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) - Bachelor More ❯

Architect Must Have Data Migration Must Have Data Modeling Must Have DBT Knowledge Should Have ETL Design Must Have Snowflake Designer/Developer Must Have AWS (S3, ETL/EMR, Security, Lambda etc) Must Have Leadership/Team handling Must Have Communication and Collaboration Must Have StreamSet Should Have Python Should Have More ❯

Data Architect Must Have Data Migration Must Have Data Modelling Must-Have DBT Knowledge Should Have ETL Design Must-Have Snowflake Designer/Developer Must Have AWS (S3, ETL\EMR, Security, Lambda, etc ) Must Have Leadership/Team handling Must Have Communication and Collaboration Must Have StreamSet Should Have Python Should Have More ❯

data pipelines using Apache Spark. Leverage Python to develop robust ETL workflows and data-processing scripts. Architect, deploy, and manage cloud-based data systems on AWS (e.g., S3, Redshift, EMR). Collaborate with product and analytics teams to ensure data availability, quality, and accessibility. Monitor and troubleshoot system performance, ensuring scalability and reliability. Qualifications Experience: 2-4 years as More ❯

proficiency in SQL, ETL processes and database management systems (e.g., MySQL, PostgreSQL, MongoDB). Hands-on experience with AWS services for data processing, storage and analysis (e.g., S3, Redshift, EMR, Glue). Familiarity with programming languages such as Python or Java. Understanding of data warehousing concepts and data modeling techniques. Experience working with big data technologies (e.g., Hadoop, Spark More ❯

Strong proficiency in SQL, ETL processes and database management systems (e.g., MySQL, PostgreSQL, MongoDB) Hands-on experience with AWS services for data processing, storage and analysis (e.g., S3, Redshift, EMR, Glue) Familiarity with programming languages such as Python or Java Understanding of data warehousing concepts and data modeling techniques Experience working with big data technologies (e.g., Hadoop, Spark) is More ❯

and 3 -5+ years of experience in software development. 2+ years of experience with microservices, Kubernetes, or AWS EKS. 2+ years of experience with AWS services (e.g., S3, EMR, Glue, EC2, ECS, IAM, Lambda, CodeBuild , Athena, Redis, ElasticSearch , RDS, Aurora, and Airflow). Proficiency in CI/CD tools like Jenkins, Terraform, or similar automation tools. Strong SQL More ❯

and 3 -5+ years of experience in software development. 2+ years of experience with microservices, Kubernetes, or AWS EKS. 2+ years of experience with AWS services (e.g., S3, EMR, Glue, EC2, ECS, IAM, Lambda, CodeBuild , Athena, Redis, ElasticSearch , RDS, Aurora, and Airflow). Proficiency in CI/CD tools like Jenkins, Terraform, or similar automation tools. Strong SQL More ❯

and 3 -5+ years of experience in software development. 2+ years of experience with microservices, Kubernetes, or AWS EKS. 2+ years of experience with AWS services (e.g., S3, EMR, Glue, EC2, ECS, IAM, Lambda, CodeBuild , Athena, Redis, ElasticSearch , RDS, Aurora, and Airflow). Proficiency in CI/CD tools like Jenkins, Terraform, or similar automation tools. Strong SQL More ❯

and 3 -5+ years of experience in software development. 2+ years of experience with microservices, Kubernetes, or AWS EKS. 2+ years of experience with AWS services (e.g., S3, EMR, Glue, EC2, ECS, IAM, Lambda, CodeBuild , Athena, Redis, ElasticSearch , RDS, Aurora, and Airflow). Proficiency in CI/CD tools like Jenkins, Terraform, or similar automation tools. Strong SQL More ❯

Amazon’s Consumer Payments organization is seeking a highly quantitative, experienced Data Engineer to drive growth through analytics, automation of data pipelines, and enhancement of self-serve experiences. You will succeed in this role if you are an organized self-starter who can learn new technologies quickly and excel in a fast-paced environment. In this position, you … teams. 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 …/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. 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 requirements, and define analytics goals. Develop and implement data analysis strategies using AWS analytics services, such as Amazon Redshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. Design and build robust data pipelines and ETL processes to extract, transform, and load data from diverse sources into AWS for analysis. Apply advanced … statistical and machine learning techniques to perform predictive and prescriptive analyses, clustering, segmentation, and pattern recognition. Identify key metrics, develop meaningful KPIs, and build dashboards and visualisations using Amazon QuickSight to enable data-driven decision-making. Conduct exploratory data analysis to uncover trends, patterns, and insights that inform product enhancements, user behaviour, and engagement strategies. Collaborate with data … preferably in a cloud-based environment using AWS analytics services. 3.Strong proficiency in AWS analytics services, such as Amazon Redshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. 4.Solid understanding of data modelling, ETL processes, and data warehousing concepts. 5.Proficiency in statistical analysis, data mining, and machine learning techniques. 6.Proficiency in programming More ❯

The Amazon Pricing & Promotions Analytics team seeks a Senior Data Engineer to build automated pricing solutions that deliver competitive prices to customers. In this role, you will design and implement data analytics solutions that drive pricing decisions while creating automated anomaly detection systems to monitor pricing effectiveness. Your responsibilities include analyzing customer behavior patterns to inform pricing strategy … complex data into clear business recommendations. Key job responsibilities - Design and implement modern data pipelines and business intelligence solutions - Configure and optimize AWS services including EC2, RDS, Redshift, Kinesis, EMR, and Lambda - Create scalable data architecture to support analytics, data science, and customer reporting needs - Collaborate with technology teams to develop ETL processes across multiple data sources - Automate reporting … of data engineering experience - 4+ years of SQL 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) - Bachelor More ❯

data requirements, and define analytics goals. Develop and implement data analysis strategies using AWS analytics services, such as Amazon Redshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. Design and build robust data pipelines and ETL processes to extract, transform, and load data from diverse sources into AWS for analysis. Apply advanced … statistical and machine learning techniques to perform predictive and prescriptive analyses, clustering, segmentation, and pattern recognition. Identify key metrics, develop meaningful KPIs, and build dashboards and visualisations using Amazon QuickSight to enable data-driven decision-making. Conduct exploratory data analysis to uncover trends, patterns, and insights that inform product enhancements, user behaviour, and engagement strategies. Collaborate with data … preferably in a cloud-based environment using AWS analytics services. 3.Strong proficiency in AWS analytics services, such as Amazon Redshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. 4.Solid understanding of data modelling, ETL processes, and data warehousing concepts. 5.Proficiency in statistical analysis, data mining, and machine learning techniques. 6.Proficiency in programming More ❯

data requirements, and define analytics goals. Develop and implement data analysis strategies using AWS analytics services, such as Amazon Redshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. Design and build robust data pipelines and ETL processes to extract, transform, and load data from diverse sources into AWS for analysis. Apply advanced … statistical and machine learning techniques to perform predictive and prescriptive analyses, clustering, segmentation, and pattern recognition. Identify key metrics, develop meaningful KPIs, and build dashboards and visualisations using Amazon QuickSight to enable data-driven decision-making. Conduct exploratory data analysis to uncover trends, patterns, and insights that inform product enhancements, user behaviour, and engagement strategies. Collaborate with data … preferably in a cloud-based environment using AWS analytics services. 3.Strong proficiency in AWS analytics services, such as Amazon Redshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. 4.Solid understanding of data modelling, ETL processes, and data warehousing concepts. 5.Proficiency in statistical analysis, data mining, and machine learning techniques. 6.Proficiency in programming More ❯

data requirements, and define analytics goals. Develop and implement data analysis strategies using AWS analytics services, such as Amazon Redshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. Design and build robust data pipelines and ETL processes to extract, transform, and load data from diverse sources into AWS for analysis. Apply advanced … statistical and machine learning techniques to perform predictive and prescriptive analyses, clustering, segmentation, and pattern recognition. Identify key metrics, develop meaningful KPIs, and build dashboards and visualisations using Amazon QuickSight to enable data-driven decision-making. Conduct exploratory data analysis to uncover trends, patterns, and insights that inform product enhancements, user behaviour, and engagement strategies. Collaborate with data … preferably in a cloud-based environment using AWS analytics services. 3.Strong proficiency in AWS analytics services, such as Amazon Redshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. 4.Solid understanding of data modelling, ETL processes, and data warehousing concepts. 5.Proficiency in statistical analysis, data mining, and machine learning techniques. 6.Proficiency in programming More ❯

data requirements, and define analytics goals. Develop and implement data analysis strategies using AWS analytics services, such as Amazon Redshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. Design and build robust data pipelines and ETL processes to extract, transform, and load data from diverse sources into AWS for analysis. Apply advanced … statistical and machine learning techniques to perform predictive and prescriptive analyses, clustering, segmentation, and pattern recognition. Identify key metrics, develop meaningful KPIs, and build dashboards and visualisations using Amazon QuickSight to enable data-driven decision-making. Conduct exploratory data analysis to uncover trends, patterns, and insights that inform product enhancements, user behaviour, and engagement strategies. Collaborate with data … preferably in a cloud-based environment using AWS analytics services. 3.Strong proficiency in AWS analytics services, such as Amazon Redshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. 4.Solid understanding of data modelling, ETL processes, and data warehousing concepts. 5.Proficiency in statistical analysis, data mining, and machine learning techniques. 6.Proficiency in programming More ❯

data requirements, and define analytics goals. Develop and implement data analysis strategies using AWS analytics services, such as Amazon Redshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. Design and build robust data pipelines and ETL processes to extract, transform, and load data from diverse sources into AWS for analysis. Apply advanced … statistical and machine learning techniques to perform predictive and prescriptive analyses, clustering, segmentation, and pattern recognition. Identify key metrics, develop meaningful KPIs, and build dashboards and visualisations using Amazon QuickSight to enable data-driven decision-making. Conduct exploratory data analysis to uncover trends, patterns, and insights that inform product enhancements, user behaviour, and engagement strategies. Collaborate with data … preferably in a cloud-based environment using AWS analytics services. 3.Strong proficiency in AWS analytics services, such as Amazon Redshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. 4.Solid understanding of data modelling, ETL processes, and data warehousing concepts. 5.Proficiency in statistical analysis, data mining, and machine learning techniques. 6.Proficiency in programming More ❯

data requirements, and define analytics goals. Develop and implement data analysis strategies using AWS analytics services, such as Amazon Redshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. Design and build robust data pipelines and ETL processes to extract, transform, and load data from diverse sources into AWS for analysis. Apply advanced … statistical and machine learning techniques to perform predictive and prescriptive analyses, clustering, segmentation, and pattern recognition. Identify key metrics, develop meaningful KPIs, and build dashboards and visualisations using Amazon QuickSight to enable data-driven decision-making. Conduct exploratory data analysis to uncover trends, patterns, and insights that inform product enhancements, user behaviour, and engagement strategies. Collaborate with data … preferably in a cloud-based environment using AWS analytics services. 3.Strong proficiency in AWS analytics services, such as Amazon Redshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. 4.Solid understanding of data modelling, ETL processes, and data warehousing concepts. 5.Proficiency in statistical analysis, data mining, and machine learning techniques. 6.Proficiency in programming More ❯

data requirements, and define analytics goals. Develop and implement data analysis strategies using AWS analytics services, such as Amazon Redshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. Design and build robust data pipelines and ETL processes to extract, transform, and load data from diverse sources into AWS for analysis. Apply advanced … statistical and machine learning techniques to perform predictive and prescriptive analyses, clustering, segmentation, and pattern recognition. Identify key metrics, develop meaningful KPIs, and build dashboards and visualisations using Amazon QuickSight to enable data-driven decision-making. Conduct exploratory data analysis to uncover trends, patterns, and insights that inform product enhancements, user behaviour, and engagement strategies. Collaborate with data … preferably in a cloud-based environment using AWS analytics services. 3.Strong proficiency in AWS analytics services, such as Amazon Redshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. 4.Solid understanding of data modelling, ETL processes, and data warehousing concepts. 5.Proficiency in statistical analysis, data mining, and machine learning techniques. 6.Proficiency in programming More ❯

data requirements, and define analytics goals. Develop and implement data analysis strategies using AWS analytics services, such as Amazon Redshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. Design and build robust data pipelines and ETL processes to extract, transform, and load data from diverse sources into AWS for analysis. Apply advanced … statistical and machine learning techniques to perform predictive and prescriptive analyses, clustering, segmentation, and pattern recognition. Identify key metrics, develop meaningful KPIs, and build dashboards and visualisations using Amazon QuickSight to enable data-driven decision-making. Conduct exploratory data analysis to uncover trends, patterns, and insights that inform product enhancements, user behaviour, and engagement strategies. Collaborate with data … preferably in a cloud-based environment using AWS analytics services. 3.Strong proficiency in AWS analytics services, such as Amazon Redshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. 4.Solid understanding of data modelling, ETL processes, and data warehousing concepts. 5.Proficiency in statistical analysis, data mining, and machine learning techniques. 6.Proficiency in programming More ❯

data requirements, and define analytics goals. Develop and implement data analysis strategies using AWS analytics services, such as Amazon Redshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. Design and build robust data pipelines and ETL processes to extract, transform, and load data from diverse sources into AWS for analysis. Apply advanced … statistical and machine learning techniques to perform predictive and prescriptive analyses, clustering, segmentation, and pattern recognition. Identify key metrics, develop meaningful KPIs, and build dashboards and visualisations using Amazon QuickSight to enable data-driven decision-making. Conduct exploratory data analysis to uncover trends, patterns, and insights that inform product enhancements, user behaviour, and engagement strategies. Collaborate with data … preferably in a cloud-based environment using AWS analytics services. 3.Strong proficiency in AWS analytics services, such as Amazon Redshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. 4.Solid understanding of data modelling, ETL processes, and data warehousing concepts. 5.Proficiency in statistical analysis, data mining, and machine learning techniques. 6.Proficiency in programming More ❯