Supply Chain challenges? Do you have a desire to make a major contribution to the future, in the rapid growth environment of Cloud Computing? Amazon Web Services is looking for a highly motivated, analytical and detail oriented candidate to help build scalable, predictive and prescriptive business analytics solutions that … combination of superior analytical and technical abilities, business acumen, and written and verbal communication skills. Data-driven decision-making is at the core of Amazon's culture. The ideal candidate has deep expertise in gathering requirements and insights, mining large and diverse data sets, data visualization, writing complex SQL … in writing and in meetings. They are motivated to achieve results in a fast-paced environment. Key job responsibilities • Understand a broad range of Amazon's data resources and processes. • Interface with Global Stakeholders, Data Engineers, and Business Analysts across time zones to gather requirements by asking right questions More ❯
Hours Full Time DESCRIPTION How often have you had an opportunity to be at ground zero of a disruptive, fast-growing, and evolutionary global Amazon service? How frequently do you get to start from the foundation and solve customer needs at a global scale in a fast-growing entertainment … identifying root causes and driving to solutions. Design, develop, and maintain metrics, reports, dashboards, and analyses to support business decisions. Gain comprehensive knowledge of Amazon's data resources and their optimal usage. Deep dive into large datasets using SQL, Python, and visualization tools like Quicksight to answer critical business … or similar role. Proficiency in SQL and Python for data extraction and processing. Experience with data visualization tools like Quicksight. Knowledge of ETL processes, Redshift, and data warehousing. Ability to define requirements and derive insights from data. Strong communication skills, capable of explaining complex data topics to non-technical More ❯
while paying careful attention to detail), and enjoys working in a fast-paced team. BASIC QUALIFICATIONS - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience … or data warehouse and scripting experience (Python) to process data for modeling PREFERRED QUALIFICATIONS - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets Our inclusive culture empowers Amazonians to … April 28, 2025 (Updated about 10 hours ago) Posted: April 27, 2025 (Updated 1 day ago) Posted: April 16, 2025 (Updated 3 days ago) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. More ❯
decisions and highlight new opportunities. Driving best practices in operational excellence, data modelling, and analysis. BASIC QUALIFICATIONS Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc. Experience with data visualization using Tableau, Quicksight, or similar tools. Experience with data modeling, warehousing and building ETL pipelines. Experience in … as EC2, DynamoDB, S3, and Redshift. Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on More ❯
Server, Oracle, MySQL, PostgreSQL, and NoSQL databases. Drive migrations using AWS Database Migration Service (DMS), Schema Conversion Tool (SCT), and Babelfish for Aurora. Implement Amazon RDS, Aurora, DynamoDB, and ElastiCache to replace legacy databases. Optimise database performance through sharding, partitioning, and caching strategies. Cloud-Native & Serverless Adoption Architect solutions … technical stakeholders. Experience leading technical teams and mentoring engineers. Ability to define modernisation roadmaps and business cases. Desirable Skills (Nice-to-Have) Experience with Redshift, Neptune, Timestream, or other AWS data services. Knowledge of multi-cloud (GCP/Azure) and hybrid cloud environments. Familiarity with machine learning & analytics pipelines More ❯
Engineering and Analytics Tooling teams to improve upstream data sources and develop scalable, accurate reporting processes Basic qualifications Experience analyzing and interpreting data with Redshift, Oracle, NoSQL, etc. Experience with data visualization tools such as Tableau, Quicksight, or similar Experience with data modeling, warehousing, and building ETL pipelines Experience … Matlab Proficiency in SQL and scripting (Python) for data processing and modeling Preferred qualifications Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift Experience in data mining, ETL, and working with large, complex datasets in a business environment Client Description Our client is a FTSE 100, multinational More ❯
and offshore Data Engineers, driving technical growth and ensuring effective collaboration. Design, develop, and optimise scalable data pipelines and infrastructure using AWS (Glue, Athena, Redshift, Kinesis, Step Functions, Lake Formation). Utilise PySpark for distributed data processing, ETL, SQL querying, and real-time data streaming. Establish and enforce best … and team management. 7+ years of hands-on experience in data engineering and ETL architecture. Deep expertise in AWS Data Services, including Glue, Athena, Redshift, Kinesis, Step Functions, Lake Formation and data lake design. Strong programming skills in Python and PySpark for data processing and automation. Extensive SQL experience More ❯
and offshore Data Engineers, driving technical growth and ensuring effective collaboration. Design, develop, and optimise scalable data pipelines and infrastructure using AWS (Glue, Athena, Redshift, Kinesis, Step Functions, Lake Formation). Utilise PySpark for distributed data processing, ETL, SQL querying, and real-time data streaming. Establish and enforce best … and team management. 7+ years of hands-on experience in data engineering and ETL architecture. Deep expertise in AWS Data Services, including Glue, Athena, Redshift, Kinesis, Step Functions, Lake Formation and data lake design. Strong programming skills in Python and PySpark for data processing and automation. Extensive SQL experience More ❯
and offshore Data Engineers, driving technical growth and ensuring effective collaboration. Design, develop, and optimise scalable data pipelines and infrastructure using AWS (Glue, Athena, Redshift, Kinesis, Step Functions, Lake Formation). Utilise PySpark for distributed data processing, ETL, SQL querying, and real-time data streaming. Establish and enforce best … and team management. 7+ years of hands-on experience in data engineering and ETL architecture. Deep expertise in AWS Data Services, including Glue, Athena, Redshift, Kinesis, Step Functions, Lake Formation and data lake design. Strong programming skills in Python and PySpark for data processing and automation. Extensive SQL experience More ❯
data platforms and pipelines. About the Role You’ll lead the design and implementation of cutting-edge data architectures using AWS technologies such as Redshift, S3, Lambda, Glue, Step Functions, and Matillion. Your role will include liaising with stakeholders to shape technical solutions, driving delivery excellence, and ultimately empowering … engineers and contributing to best practices in data engineering and DevOps. What You’ll Bring Strong hands-on experience with AWS data services – especially Redshift, Glue, and S3 Strong consulting experience - strong stakeholder management and experience leading large teams Heavy involvement in RFI + RFPs Proficiency in data integration More ❯
skills. In addition, you will also have a strong desire to work with Docker, Kubernetes, Airflow and the AWS data technologies such as Athena, Redshift, EMR and various other tools in the AWS ecosystem. You would be joining a team of 25+ engineers across mobile, web, data and platform. … of relevant data engineering experience Strong Python and SQL skills Experience with dbt Experience with AWS Experience working with a columnar database such as Redshift Strong Experience with ETL/ELT and the management of data pipelines Familiarity with snowplow Experience with Data Integration from a variety of sources More ❯
Facilities Management, Research and Development, Science and Pharmaceutical Role: Professional Contract Type: Permanent Hours: Full Time DESCRIPTION Have you ever ordered a product on Amazon and when that box-with-the-smile arrives, you wonder how it got to you so fast? Ever wondered where it came from and … how much it cost Amazon? Wondered how Amazon designs its transportation network to scale and reliably deliver hundreds of millions of packages to customer's doorsteps? If so, Amazon's EU Fulfillment Optimization team is for you. We use mathematical models, business analytics, algorithm design and statistics … to improve decision-making capabilities across Operations and Amazon Logistics. Our objective is to create a reference for what the ideal transportation network looks like and build scalable audit mechanisms to assess and reduce the gap to the current network. We do so by treating system defects as gifts More ❯
customers more of what they want - low prices, vast selection, and convenience - continues to grow and evolve as a world-class e-commerce platform. Amazon's evolution from Web site to e-commerce partner to development platform is driven by the spirit of innovation that is part of the … development - Scoping and Testing. Defect Elimination. Agile Continuous Improvement. About the team The RBS group in Chennai/Bangalore is an integral part of Amazon online product lifecycle and buying operations. The team is designed to ensure Amazon remains competitive in the online retail space with the best … price, wide selection and good product information. The team's primary role is to create and enhance retail selection on the worldwide Amazon online catalog. The tasks handled by this group have a direct impact on customer buying decisions and online user experience. BASIC QUALIFICATIONS - 3+ years of analyzing More ❯
Have you ever ordered a product on Amazon and when that box-with-the-smile arrives, you wonder how it got to you so fast? Ever wondered where it came from and how much it cost Amazon? Wondered how Amazon designs its transportation network to scale and … reliably deliver hundreds of millions of packages to customer's doorsteps? If so, Amazon's Trans Systems Analytics & Customer Experience (TSA & CX) team is for you. We use mathematical models, business analytics, algorithm design and statistics to improve decision-making capabilities across Operations and Amazon Logistics. Our objective … in an applied environment. - Experience diving into data to discover hidden patterns and conducting error/deviation analysis. - Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2. - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and More ❯
Are you analytically sharp and passionate about applying advanced analytics to impact business decisions? Come and be a driving force of Amazon's International Emerging Stores Shopping experience team. The Amazon IES Shopping team owns the charter for defining the shopping experience across multiple category needs for Amazon … Key job responsibilities Build scalable solutions and self-serve platforms that provide data/KPIs to inform business decision-making. Investigate data sources across Amazon and expand existing device data infrastructure. Identify, develop, manage, and execute analyses to uncover opportunities and present written business recommendations to grow the business. … experience writing SQL queries. Experience with building and maintaining basic data artifacts (e.g., ETL, data models, queries). Experience with AWS services including S3, Redshift, EMR, Kinesis, and RDS. Experience in working and delivering end-to-end projects independently. Knowledge of distributed systems as it pertains to data storage More ❯
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 … years of data engineering experience - Bachelor's degree in Computer Science, Engineering, or a related technical discipline PREFERRED QUALIFICATIONS - Experience with AWS data services (Redshift, S3, Glue, EMR, Kinesis, Lambda, RDS) and understanding of IAM security frameworks - Proficiency in designing and implementing logical data models that drive physical designs … Posted: May 5, 2025 (Updated 14 days ago) Posted: May 5, 2025 (Updated 14 days ago) Posted: May 1, 2025 (Updated 14 days ago) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. More ❯
Business Intelligence Engineer, Amazon Sub Same Day The role of the Sub Same Day business is to provide ultrafast speeds (2-hour and same-day scheduled) and reliable delivery for a curated selection of Amazon's top-selling items and daily essentials, fulfilling customer expectations for speed and … talented, driven, and experienced Business Analyst to contribute to the evolution and success of one of the fastest-growing businesses in the company. Joining Amazon means partnering with a dynamic team that values innovation and success in a fast-paced environment. The Business Analyst will influence critical business decisions … escalating anomalies as needed. Providing input on business actions based on analytical findings. BASIC QUALIFICATIONS 5+ years of experience analyzing and interpreting data using Redshift, Oracle, NoSQL, etc. Experience with data visualization tools such as Tableau, Quicksight, or similar. Experience with data modeling, warehousing, and building ETL pipelines. Experience More ❯
and technical standards. Good command line and scripting knowledge. Knowledge of plugins for above software applications, including but not limited to - Red Giant Complete, Redshift 3D, Arnold Renderer, Keentools Geotracker, NeatVideo, Boris FX Sapphire, Continuum and Mocha Pro, Insydium X-Particles, Chaos Group V-Ray. It would be great More ❯
Business Analyst, Regulatory Intelligence Safety and Compliance, Global Data Analytics At Amazon, our goal is to be earth's most customer-centric company and to create a safe environment for both our customers and our associates. To achieve that, we need exceptionally talented, bright, dynamic, and driven people. If … etc.) and data visualization tools such as Tableau - Experience in business or financial analysis - Familiarity with AWS solutions such as EC2, Dynamo DB, S3, Redshift, and RDS. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make … onboarding process, please visit 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. More ❯
Analytics (IDEA) Team IN Data Engineering & Analytics (IDEA) Team is seeking a talented Data Engineer to develop data pipelines and support ML models for Amazon India businesses. Team Overview The IDEA team serves as the central Data Engineering and Analytics unit for all Amazon India businesses. Its responsibilities … include providing a Unified Data and Analytics Infrastructure (UDAI), managing a Petabyte-scale Redshift data warehouse, and enabling analytics and self-service data applications for various business streams such as Payments, Finance, Consumer, and Delivery Experience. Role Overview The Data Engineer will focus on data extraction, transformation, and pipeline … of query languages like SQL, PL/SQL, HiveQL, SparkSQL, Scala. Experience with big data technologies such as Hadoop, Hive, Spark, EMR. Additional Information Amazon's inclusive culture empowers employees to deliver exceptional results. For workplace accommodations during the application process, visit If your region isn't listed, contact More ❯
conference visits. Key job responsibilities As a Senior Data Scientist, your responsibilities will be: Lead the analysis, prototyping and implementation of recommendation models for amazon vendors. Work closely with other scientists and engineers to review and improve your model design proposals. Partner with product managers and other business stakeholders … is a team of Scientists, Science Managers, and Business Intelligence Engineers. The team's charter is to develop science-based models to help all Amazon vendors to maximize their growth. From our base office in Tokyo, Japan, we build for all vendors worldwide, and collaborate with other science teams … etc. experience - Experience managing data pipelines - Experience as a leader and mentor on a data science team - Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue) Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a More ❯
passion for cloud-native solutions. What You'll Be Doing: Leading the design and delivery of end-to-end AWS-based data solutions (S3, Redshift, Glue, Lambda, Step Functions, Matillion, DynamoDB, etc.). Acting as a senior technical SME in RFI and RFP response activity for complex data-led … and contributing to reusable assets and accelerators. What We're Looking For: Extensive hands-on AWS data engineering expertise including experience with S3, Glue, Redshift, Lambda, and Matillion. Demonstrated leadership within a consultancy or delivery-focused organisation at SM/Manager level or above. Proven track record of leading More ❯