Reston, Virginia, United States Hybrid / WFH Options
CGI Technologies and Solutions, Inc
resilience and fault tolerance. • Experience with chaos engineering and tools like AWS FIS or Chaos Toolkit • Comfortable managing and tuning databases-whether relational or NoSQL (PostgreSQL, MongoDB, DynamoDB, Oracle, Redshift). • Has worked in production support environments, including on-call rotations and incident response. • Strong communication skills and the ability to work well with cross-functional teams. • Experience with More ❯
Introduction Join us at Gallagher Re, the trailblazers of the reinsurance world, where every day brings new opportunities to shape the future. We empower our clients with cutting-edge analytics and insights, providing them the confidence to make strategic decisions More ❯
Introduction Join us at Gallagher Re, the trailblazers of the reinsurance world, where every day brings new opportunities to shape the future. We empower our clients with cutting-edge analytics and insights, providing them the confidence to make strategic decisions 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 quality of … routes we build for our drivers through our end-to-end last mile planning systems. You will develop complex data engineering solutions using AWS technology stack (S3, Glue, IAM, Redshift, Athena). You should have deep expertise and passion in working with large data sets, building complex data processes, performance tuning, bringing data from disparate data stores and programmatically … a fast-paced environment are critical 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 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 data-driven decisions … that enhance customer retention, engagement, and experience on Amazon Music. We develop and maintain automated data solutions, data science models, and conduct deep dives into complex questions to produce actionable insights. Our work supports measurement, personalization, and experimentation through key data programs, including attribution pipelines, web metrics, and causal frameworks. We provide analytics and science infrastructure, fostering a data … driven culture with scalable, reliable solutions. Our team accelerates content analytics, offering independence for generating insights quickly and accurately. We support various domains within Amazon Music, such as Programming, Label Relations, PR, Stations, Livesports, Originals, and Case & CAM, enabling repeatable analysis of music customer behaviors and reducing analysis costs. Role Overview If you love big data challenges, this role More ❯
Responsibilities: Collaborate with cross-functional teams to understand business objectives, identify data requirements, and define analytics goals. Develop and implement data analysis strategies using AWS analytics services, such as AmazonRedshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. Design and build robust data pipelines and ETL processes to extract, transform, and load data from diverse … 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 … Mathematics, or a related field. 2.Proven experience as a Data Scientist, preferably in a cloud-based environment using AWS analytics services. 3.Strong proficiency in AWS analytics services, such as AmazonRedshift, 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 More ❯
Responsibilities: Collaborate with cross-functional teams to understand business objectives, identify data requirements, and define analytics goals. Develop and implement data analysis strategies using AWS analytics services, such as AmazonRedshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. Design and build robust data pipelines and ETL processes to extract, transform, and load data from diverse … 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 … Mathematics, or a related field. 2.Proven experience as a Data Scientist, preferably in a cloud-based environment using AWS analytics services. 3.Strong proficiency in AWS analytics services, such as AmazonRedshift, 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 More ❯
Responsibilities: Collaborate with cross-functional teams to understand business objectives, identify data requirements, and define analytics goals. Develop and implement data analysis strategies using AWS analytics services, such as AmazonRedshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. Design and build robust data pipelines and ETL processes to extract, transform, and load data from diverse … 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 … Mathematics, or a related field. 2.Proven experience as a Data Scientist, preferably in a cloud-based environment using AWS analytics services. 3.Strong proficiency in AWS analytics services, such as AmazonRedshift, 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 More ❯
Responsibilities: Collaborate with cross-functional teams to understand business objectives, identify data requirements, and define analytics goals. Develop and implement data analysis strategies using AWS analytics services, such as AmazonRedshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. Design and build robust data pipelines and ETL processes to extract, transform, and load data from diverse … 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 … Mathematics, or a related field. 2.Proven experience as a Data Scientist, preferably in a cloud-based environment using AWS analytics services. 3.Strong proficiency in AWS analytics services, such as AmazonRedshift, 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 More ❯
Responsibilities: Collaborate with cross-functional teams to understand business objectives, identify data requirements, and define analytics goals. Develop and implement data analysis strategies using AWS analytics services, such as AmazonRedshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. Design and build robust data pipelines and ETL processes to extract, transform, and load data from diverse … 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 … Mathematics, or a related field. 2.Proven experience as a Data Scientist, preferably in a cloud-based environment using AWS analytics services. 3.Strong proficiency in AWS analytics services, such as AmazonRedshift, 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 More ❯
Responsibilities: Collaborate with cross-functional teams to understand business objectives, identify data requirements, and define analytics goals. Develop and implement data analysis strategies using AWS analytics services, such as AmazonRedshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. Design and build robust data pipelines and ETL processes to extract, transform, and load data from diverse … 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 … Mathematics, or a related field. 2.Proven experience as a Data Scientist, preferably in a cloud-based environment using AWS analytics services. 3.Strong proficiency in AWS analytics services, such as AmazonRedshift, 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 More ❯
Responsibilities: Collaborate with cross-functional teams to understand business objectives, identify data requirements, and define analytics goals. Develop and implement data analysis strategies using AWS analytics services, such as AmazonRedshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. Design and build robust data pipelines and ETL processes to extract, transform, and load data from diverse … 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 … Mathematics, or a related field. 2.Proven experience as a Data Scientist, preferably in a cloud-based environment using AWS analytics services. 3.Strong proficiency in AWS analytics services, such as AmazonRedshift, 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 More ❯
Responsibilities: Collaborate with cross-functional teams to understand business objectives, identify data requirements, and define analytics goals. Develop and implement data analysis strategies using AWS analytics services, such as AmazonRedshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. Design and build robust data pipelines and ETL processes to extract, transform, and load data from diverse … 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 … Mathematics, or a related field. 2.Proven experience as a Data Scientist, preferably in a cloud-based environment using AWS analytics services. 3.Strong proficiency in AWS analytics services, such as AmazonRedshift, 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 More ❯
Responsibilities: Collaborate with cross-functional teams to understand business objectives, identify data requirements, and define analytics goals. Develop and implement data analysis strategies using AWS analytics services, such as AmazonRedshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. Design and build robust data pipelines and ETL processes to extract, transform, and load data from diverse … 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 … Mathematics, or a related field. 2.Proven experience as a Data Scientist, preferably in a cloud-based environment using AWS analytics services. 3.Strong proficiency in AWS analytics services, such as AmazonRedshift, 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 More ❯
Responsibilities: Collaborate with cross-functional teams to understand business objectives, identify data requirements, and define analytics goals. Develop and implement data analysis strategies using AWS analytics services, such as AmazonRedshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. Design and build robust data pipelines and ETL processes to extract, transform, and load data from diverse … 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 … Mathematics, or a related field. 2.Proven experience as a Data Scientist, preferably in a cloud-based environment using AWS analytics services. 3.Strong proficiency in AWS analytics services, such as AmazonRedshift, 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 More ❯
Responsibilities: Collaborate with cross-functional teams to understand business objectives, identify data requirements, and define analytics goals. Develop and implement data analysis strategies using AWS analytics services, such as AmazonRedshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. Design and build robust data pipelines and ETL processes to extract, transform, and load data from diverse … 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 … Mathematics, or a related field. 2.Proven experience as a Data Scientist, preferably in a cloud-based environment using AWS analytics services. 3.Strong proficiency in AWS analytics services, such as AmazonRedshift, 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 More ❯
Responsibilities: Collaborate with cross-functional teams to understand business objectives, identify data requirements, and define analytics goals. Develop and implement data analysis strategies using AWS analytics services, such as AmazonRedshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. Design and build robust data pipelines and ETL processes to extract, transform, and load data from diverse … 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 … Mathematics, or a related field. 2.Proven experience as a Data Scientist, preferably in a cloud-based environment using AWS analytics services. 3.Strong proficiency in AWS analytics services, such as AmazonRedshift, 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 More ❯
Responsibilities: Collaborate with cross-functional teams to understand business objectives, identify data requirements, and define analytics goals. Develop and implement data analysis strategies using AWS analytics services, such as AmazonRedshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. Design and build robust data pipelines and ETL processes to extract, transform, and load data from diverse … 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 … a related field. 2. Proven experience as a Data Scientist, preferably in a cloud-based environment using AWS analytics services. 3. Strong proficiency in AWS analytics services, such as AmazonRedshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. 4. Solid understanding of data modelling, ETL processes, and data warehousing concepts. 5. Proficiency in statistical analysis More ❯
solutions and shape our data strategy to support business growth. Responsibilities Collaborate with teams to understand objectives and define analytics goals. Develop data analysis strategies using AWS services like AmazonRedshift, Athena, EMR, and QuickSight. Design and build data pipelines and ETL processes for analysis. Apply statistical and machine learning techniques for predictive and pattern analyses. Create dashboards … and KPIs 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. Requirements Bachelor's or master's in CS, Statistics, Mathematics, or related. Experience as a Data Scientist, preferably with AWS analytics. Proficiency in AWS services like Redshift, Athena, EMR, QuickSight. Knowledge More ❯
data-driven solutions, shape data strategy, and drive business growth. Responsibilities Understand business objectives, identify data requirements, and define analytics goals. Develop data analysis strategies using AWS services like AmazonRedshift, Athena, EMR, and QuickSight. Design and build data pipelines and ETL processes from diverse sources. 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 uncover trends and insights. Work with data engineers to optimise data architecture, quality, and governance. Requirements Bachelor's or master's degree in Computer Science, Statistics, Mathematics, or related field. Experience as a Data Scientist, preferably with AWS analytics services. Proficiency in AWS services … like Redshift, Athena, EMR, and QuickSight. Understanding of data modelling, ETL, data warehousing, and machine learning. Programming skills in Python, R, or Scala. Experience with SQL, NoSQL, data visualization, and statistical tools. Strong analytical and problem-solving skills. Experience with social media analytics and user behavior analysis. Knowledge of big data technologies like Hadoop, Spark, Kafka. Familiarity with AWS More ❯
Business Intelligence Engineer, SCOT - Automated Inventory Management Have you ever ordered a product on Amazon and when that box with the smile arrived, wondered how it got to you so fast? Wondered where it came from and how much it cost Amazon? If so, Amazon's Supply Chain Optimization Technology (SCOT) organization is for you. At SCOT … we solve deep technical problems and build innovative solutions in a fast-paced environment working with smart & passionate team members. (Learn more about SCOT: ) Our vision is to ensure Amazon Customers have the best experience on Amazon, throughout the year, and do not have to compromise with a less than optimal experience during High traffic/Deal events. … will utilize your expertise to inform impactful business decisions that enhance customer experience and contribute to long-term free cash flow growth. You will gain a comprehensive understanding of Amazon's systems and supply chain processes through collaboration with diverse teams across product, science, tech, retail categories, finance, and operations. This role will require partnering closely with Product Managers More ❯
Job ID: 2992230 | Amazon (China) Holding Company Limited Amazon ARTS (APEX-RoW Technology Solutions) 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 data flow … the unique challenges of space, size and speed; implementing data analytics using cutting edge analytics patterns and technologies that are inclusive of but not limited to various AWS Offerings –Redshift, S3 and RDS.; working with partner teams to create dashboards for our customers. Key job responsibilities 1. Migrate ETL jobs/tables across clusters and validate the data 2. … Monitor and optimize the Redshift cluster health 3. Build data pipelines based on AWS Services and Amazon data infra 4. Support analytics team on ETL performance troubleshooting and optimization A day in the life As a Data Engineer I in ARTS team of this role, the stakeholders are from Australia Ops teams. 40% of the time will support More ❯
to shape our data strategy and support business growth. Responsibilities Collaborate with teams to understand business objectives and define analytics goals. Develop data analysis strategies using AWS services like AmazonRedshift, Athena, EMR, and QuickSight. Design and build data pipelines and ETL processes from diverse sources into AWS. 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. Work with data engineers to optimize data architecture, quality, and governance in AWS. Requirements Bachelor's or master's degree in Computer Science, Statistics, Mathematics, or related field. Experience as a Data Scientist in a cloud environment, preferably with … AWS. Proficiency in AWS analytics tools such as Redshift, Athena, EMR, QuickSight. Understanding of data modeling, ETL, and data warehousing concepts. Skills in statistical analysis, data mining, and machine learning. Proficiency in Python, R, or Scala. Experience with SQL and NoSQL databases, visualization tools, and statistical packages. Strong analytical and problem-solving skills. Experience with social media analytics and More ❯
solutions and shape our data strategy to support business growth. Responsibilities Collaborate with teams to understand objectives and define analytics goals. Implement data analysis strategies using AWS services like AmazonRedshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for diverse data sources. 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 identify trends and insights. Work with data engineers to optimize data architecture and governance in AWS. Requirements Bachelor's or master's in Computer Science, Statistics, Mathematics, or related field. Experience as a Data Scientist, especially with AWS analytics services. Proficiency in AWS tools like RedshiftMore ❯
highlight their work and facilitate access to social media opportunities. Responsibilities: Collaborate with teams to understand objectives and define analytics goals. Develop data analysis strategies using AWS services like AmazonRedshift, 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 trends and insights. Work with data engineers to optimize data architecture and governance in AWS. Requirements: Bachelor's or master's in CS, Statistics, Mathematics, or related field. Experience as a Data Scientist, preferably with AWS analytics. Proficiency in AWS services like RedshiftMore ❯
