support business growth. Responsibilities: Work with teams to understand business goals, data needs, and analytics objectives. Develop data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design and build data pipelines and ETL processes for data extraction, transformation, and loading into AWS. Apply statistical and machine learning techniques for predictive and segmentation analyses. … Identify key metrics, develop KPIs, and create dashboards with Amazon QuickSight for decision-making. Perform exploratory data analysis to identify trends and insights for product and user engagement improvements. Collaborate 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, especially with AWS analytics services. Proficiency in AWS tools like Redshift, Athena, EMR, and QuickSight. Knowledge of data modeling, ETL, and data warehousing concepts. Skills in statistical analysis, data mining, and machine learning. Programming skills in Python, R, or Scala. Experience with More ❯
Have you ever ordered a product from Amazon and been amazed at how fast it gets to you? Every day Amazon engineers are relentlessly working to decrease the time between Click to Deliver for your products. The Amazon Fulfillment Technologies (AFT) team owns all of the software and infrastructure which powers Amazon … demand for data, and use it to deliver the data as service which will have an immediate influence on day-to-day decision-making at About the team Amazon Fulfillment Technologies (AFT) powers Amazon's global fulfillment network. We invent and deliver software, hardware, and data science solutions that orchestrate processes, robots, machines, and people. We … 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) Our More ❯
and shape our data strategy. Responsibilities: Collaborate with teams to understand objectives and define analytics goals. Develop data analysis strategies using AWS services like 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. Create KPIs, dashboards, and visualizations … 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 Redshift, Athena, EMR, QuickSight. Understanding of data modeling, ETL, and data warehousing. Skills in statistical analysis, data mining, machine learning. Programming skills in Python, R, or Scala. Experience with SQL and NoSQL More ❯
and driving growth. Responsibilities Work with teams to understand business goals, data needs, and analytics objectives. Develop data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design and build data pipelines and ETL processes from various sources into AWS. Apply statistical and machine learning techniques for predictive and pattern analysis. Identify key metrics … create KPIs, and develop dashboards with Amazon QuickSight. Perform exploratory data analysis to uncover trends and insights for product and engagement improvements. Collaborate 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, preferably with AWS 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 data pipelines and ETL processes for data extraction and transformation. Apply statistical and machine learning techniques for predictive and segmentation analyses. Develop KPIs and dashboards to … 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 such as Redshift, Athena, EMR, and QuickSight. Understanding of data modeling, ETL, and data warehousing. Knowledge of statistical analysis, machine learning, and programming languages like Python, R, or Scala. Experience with SQL, NoSQL, data More ❯
product managers, and stakeholders to craft data-driven solutions. Responsibilities: Collaborate with teams to understand objectives and define analytics goals. Develop analysis strategies using AWS services like Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for diverse data sources. Apply statistical and machine learning techniques for predictive and segmentation analyses. Create dashboards and KPIs with Amazon … s or master's in Computer Science, Statistics, Mathematics, or related fields. Experience as a Data Scientist, especially in AWS cloud environments. Proficiency in AWS analytics tools: Redshift, Athena, EMR, QuickSight. Understanding of data modeling, ETL, data warehousing. Skills in statistical analysis, machine learning, Python/R/Scala. Experience with SQL, NoSQL, visualization, and statistical packages. Strong analytical More ❯
business growth. Responsibilities: Collaborate with teams to understand objectives, identify data needs, and set analytics goals. Implement data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for data extraction, transformation, and loading into AWS. Apply statistical and machine learning techniques for predictive analysis, clustering, and pattern recognition. … 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. Knowledge of data modeling, ETL, data warehousing, and statistical/machine learning techniques. Programming skills in Python, R, or Scala. Experience with SQL, NoSQL, data visualization, and More ❯
support business growth. Responsibilities: Understand business objectives, data requirements, and analytics goals with cross-functional teams. Develop data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design and build data pipelines and ETL processes for data extraction, transformation, and loading. Apply statistical and machine learning techniques for predictive and segmentation analyses. Develop KPIs … master's degree in Computer Science, Statistics, Mathematics, or related field. Proven experience as a Data Scientist, especially with AWS analytics services. Strong proficiency in AWS tools: 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 for data analysis and More ❯
recommendations, shaping our data strategy and driving growth. Responsibilities: Understand business objectives, define data requirements, and set analytics goals. Develop data analysis strategies using AWS services like Redshift, 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. 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, quality, and governance. Requirements … Bachelor's or master's in Computer Science, Statistics, Mathematics, or related fields. Experience as a Data Scientist, preferably with AWS analytics. Proficiency in AWS services like Redshift, Athena, EMR, QuickSight. Understanding of data modeling, ETL, and data warehousing. Skills in statistical analysis, data mining, machine learning. Programming skills in Python, R, or Scala. Experience with SQL, NoSQL, data More ❯
data strategy to support business growth. Responsibilities Work with teams to understand objectives, data needs, and analytics goals. Develop strategies using AWS services like Amazon Redshift, 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. Create KPIs and dashboards to facilitate More ❯
shaping our data strategy and supporting business growth. Responsibilities: Collaborate with teams to understand objectives and define analytics goals. Develop data analysis strategies using AWS services like Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for data extraction, transformation, and loading. Apply statistical and machine learning techniques for predictive and segmentation analyses. Develop KPIs and dashboards … Requirements: Bachelor's or master's in Computer Science, Statistics, Mathematics, or related. Experience as a Data Scientist, especially with AWS analytics. Proficiency in AWS services like Redshift, Athena, EMR, QuickSight. Understanding of data modeling, ETL, data warehousing. Skills in statistical analysis, data mining, machine learning. Programming skills in Python, R, or Scala. Experience with SQL, NoSQL, visualization tools More ❯
driven solutions and strategies to drive growth. Responsibilities: Collaborate with teams to understand objectives, data needs, and analytics goals. Develop data analysis strategies using AWS services like Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for data extraction, transformation, and loading. Apply statistical and machine learning techniques for predictive analysis, clustering, segmentation, and pattern recognition. Identify … master's degree in Computer Science, Statistics, Mathematics, or related fields. Proven experience as a Data Scientist, especially with AWS analytics services. Strong proficiency in AWS tools: Redshift, Athena, EMR, QuickSight. Understanding of data modeling, ETL, and data warehousing. Skills in statistical analysis, data mining, machine learning. Programming skills in Python, R, or Scala. Experience with SQL, NoSQL, data More ❯
alongside Associates, Mid-level Engineers, and Senior/Principal engineers. What You'll Do: Design, build, and scale data pipelines and services using AWS Glue, Lambda, Step Functions, S3, EMR, Athena, and more. Lead projects involving serverless, event-driven architectures and CI/CD workflows (GitLab CI). Write clean, production-grade code in Python (Scala is a bonus … Actively mentor Data Engineers and Associates, and lead technical discussions and design sessions. Key requirements: Must-Have: Strong experience with AWS services: Glue, Lambda, S3, Athena, Step Functions, EventBridge, EMR, EKS, RDS, Redshift, DynamoDB. Strong Python development skills. Proficient with Docker , containerization, and virtualization. Hands-on experience with CI/CD , especially GitLab CI. Solid experience with Infrastructure as 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 ❯
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 ❯
the-shelf, and fully embrace automation, monitoring, and testing across our software, infrastructure, and data pipelines. Key requirements: Technical Skills Proven experience with AWS services (S3, Glue, Lambda, Athena, EMR, Step Functions, Redshift, etc.). Proficient in Terraform, CloudFormation, or AWS SAM for Infrastructure as Code. Skilled in Docker, containerization, and virtualization. Hands-on experience with CI/CD More ❯
London, England, United Kingdom Hybrid / WFH Options
BMLL
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 ❯
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 ❯
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 ❯
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 ❯
Cambourne, England, United Kingdom Hybrid / WFH Options
Remotestar
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 ❯
