301 to 325 of 1,039 Amazon Redshift Jobs

with a focus on data platforms and cloud data solutions . Hands-on experience designing data solutions on Azure (e.g., Azure Data Lake, Synapse, Data Factory) and AWS (e.g., Redshift, Glue, S3, Lambda) . Strong background in data architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with modern data tools and technologies More ❯

as Kafka or SQS Daily practice of agile methods including use of sprints, backlog, user stories Experience with AWS ecosystem or other big data technologies such as EC2, S3, Redshift, Batch, AppFlow AWS: EC2, S3, Lambda, DynamoDB, Cassandra, SQL, Hadoop, Hive, HDFS, Spark, other big data technologies Understand, Analyze, design, develop, as well as implement RESTful services and APIs More ❯

with a focus on data platforms and cloud data solutions . Hands-on experience designing data solutions on Azure (e.g., Azure Data Lake, Synapse, Data Factory) and AWS (e.g., Redshift, Glue, S3, Lambda) . Strong background in data architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with modern data tools and technologies More ❯

with a focus on data platforms and cloud data solutions . Hands-on experience designing data solutions on Azure (e.g., Azure Data Lake, Synapse, Data Factory) and AWS (e.g., Redshift, Glue, S3, Lambda) . Strong background in data architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with modern data tools and technologies More ❯

or Kafka Streams)? Select Which statement best describes your hands on responsibility for architecting and tuning cloud native data lake/warehouse solutions (e.g., AWS S3 + Glue/Redshift, GCP BigQuery, Azure Synapse)? Select What best reflects your experience building ETL/ELT workflows with Apache Airflow (or similar) and integrating them into containerised CI/CD pipelines More ❯

with a focus on data platforms and cloud data solutions . Hands-on experience designing data solutions on Azure (., Azure Data Lake, Synapse, Data Factory) and AWS (., Redshift, Glue, S3, Lambda) . Strong background in data architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with modern data tools and technologies More ❯

Staff and Principal Data Engineers to co-develop solution designs, align architectural decisions, and ensure technical consistency across the platform. Prior experience with AWS and its data ecosystem (e.g., Redshift, Glue, Lambda, Kinesis) is beneficial. Expertise in modern data pipeline architectures, covering both batch and real-time/streaming workloads, including event-driven patterns. Strong understanding of CI/ More ❯

in advanced data modelling and cloud data warehouses, with a proven track record of designing and implementing complex, performant data models in enterprise-grade cloud environments (e.g., BigQuery, Snowflake, Redshift), consistently optimising for scale and cost-efficiency. Demonstrate mastery of SQL and dbt, exhibiting expertise in advanced SQL techniques and extensive experience in developing, optimising, and troubleshooting data transformations More ❯

DATA ENGINEER (Real Time) About client: At RemoteStar, we are hiring for a client who is a world-class iGaming operator offering various online gaming products across multiple markets through proprietary gaming sites and partner brands. Their iGaming platform supports More ❯

Amazon Last Mile - Routing and Planning DE 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 … specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets 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 … support for the interview or 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 ❯

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 of the UC … specialized security solutions for their cloud services. Each day, thousands of developers make trillions of transactions worldwide on our cloud. Almost all of them are harnessing the power of Amazon Web Services (AWS) to enable innovative applications, websites, and businesses. We store all these transactions for analysis and reporting. Amazon Web Services is seeking a Data Engineer to … business and serve our external customers. We are truly leading the 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 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 will … operate large-scale, high-volume, high-performance data structures for analytics and Reporting. - Implement data structures using best practices in data modeling, ETL/ELT processes, and SQL, AWS – Redshift, and OLAP technologies, Model data and metadata for ad hoc and pre-built reporting. - Work with product tech teams and build robust and scalable data integration (ETL) pipelines using … teams/other Data 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 More ❯

analysis: data integrity, test design, analysis, validation, and documentation Build automation to reduce dependencies on manual data pulls etc. 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 in Statistical Analysis packages such … pull data from a database 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 deliver the best results for … the interview or onboarding process, please visit this link 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 ❯

analysis: data integrity, test design, analysis, validation, and documentation Build automation to reduce dependencies on manual data pulls etc. Minimum Requirements: 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 in Statistical Analysis packages such … SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling 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 deliver the best results for 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's emerging markets. We are a large product organization … and country whom we serve. 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. Develop a thorough understanding of … 2+ years of hands-on 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 and computing. Experience with data 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's world-class fulfillment … patterns that leverage a new cloud architecture, and will extend or migrate our existing data pipelines to this architecture as needed. You will also be assisting with integrating the Redshift platform as our primary processing platform to create the curated data model for the enterprise to leverage. You will be part of a team that builds the next generation … business 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 harmonize More ❯

a Business Intelligence Engineer you will be leading the charge in developing data modeling strategies and design decisions. You will work with a wide range of data technologies (e.g. Redshift, Lambda, and Tableau) and stay up to date on emerging technologies, investigating and implementing where appropriate. This role requires an individual with proficiency in analytical abilities, deep knowledge of … a self-starter comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced and entrepreneurial environment, and driven by a desire to innovate Amazon’s approach to this space. The key ways this role makes a difference in the Risk Ops organization are: Develop complex queries for ad hoc requests and projects, as … directly with stakeholders, gathering requirements and owning automated end-to-end reporting solutions. Partner with analysts, data engineers, business intelligence engineers, and software development engineers across Books org and Amazon to produce complete data solutions. Simplify and automate reporting, audits, and other data-driven activities; build solutions to have maximum scale and self-service ability by stakeholders. Proficiency with More ❯

automated reporting frameworks, and leading technical roadmaps is essential. This role offers the opportunity to work on challenging projects at the intersection of technology and business strategy, directly impacting Amazon's largest vendor partnerships through data-driven insights. You will help define the future of our analytics capabilities while enabling our consulting teams to deliver distinctive results that "only … Amazon" can provide. You will work within an international team of scientists and engineers, all based in Tokyo, Japan. We are a team that thrives on growth, both personal and professional. Engage in academic collaborations, spark innovation in hackathons, and expand your horizons with conference visits. A day in the life The BIE is accountable for: - Architecting and implementing … translate business requirements into technical solutions, while partnering with scientists to innovate on analytics approaches and operationalize insights - Developing and maintaining automated data pipelines and core BI infrastructure using Amazon's analytics stack to process large-scale vendor data effectively - Leading the technical roadmap for analytics capabilities, including designing reusable components and tools that allow consultants to independently customize More ❯

to buy online. By giving 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 company's DNA. The world … implementation • Big Data analytics • Product 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 and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using 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 role in providing the … leverage new cloud architectures, and will extend or migrate existing data pipelines to these architectures as needed. You will be responsible for designing and implementing complex data pipelines in Amazon's platform and other BI solutions to support the rapidly growing and dynamic business demand for data, and use it to deliver data-driven insights that will have an More ❯

part 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 … in the B2B space developing innovative purchasing and procurement solutions to help businesses and organizations thrive. At Amazon Business, we strive to be the most recognized and preferred strategic partner for smart business buying. Bring your insight, imagination and a healthy disregard for the impossible. Join us in building and celebrating the value of Amazon Business to buyers … and sellers of all sizes and industries. Unlock your career potential. The Amazon Business team is looking for candidates who are passionate about delivering an amazing experience to our international business customers. We focus on merging the customer experience, selection, pricing, and convenience that consumers have come to expect and love from Amazon with the features and functionality More ❯

DESCRIPTION Veeqo (veeqo.com) - a startup which was acquired by Amazon in 2021 - is Amazon's recommended multichannel inventory and shipping solution for SMB sellers. Within only one year post-acquisition, Veeqo carried an S-Team goal and publicly launched at Accelerate 2022. Our vision is to become the back office hub for SMB ecommerce sellers, for both their … on-Amazon and off-Amazon business. We help sellers manage fulfillment operations across all their online stores, and ship orders to customers at the lowest cost and in the fastest possible time. Amazon is seeking an exemplary Business Intelligence Engineer with broad technical skills to develop data visualizations and build automation solutions that drive business decision making … experience (Python) to process data for modeling - Experience with SQL - Experience in the data/BI space 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 Amazon is an equal opportunities employer. We believe passionately that More ❯

a 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 … for 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 … ETL pipelines - Experience with 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 More ❯

to good causes. Key Responsibilities: BI Operations & System Monitoring: Ensure day-to-day smooth running of BI data pipelines, reporting systems, and cloud-based ETL/ELT workflows (AWS, Redshift, Glue, Airflow).Monitor system uptime and performance, proactively addressing issues to maintain SLA compliance.Setup monitoring dashboards and look after systems availability and operations. Strong observability setup skills to constantly … Skills & Experience Experience: 5+ years of experience (minimum 3 years in Production Support for AWS BI/Data Engineering). Technical Experience: Hands-on experience with AWS BI stack (Redshift, Glue, Airflow, S3, Step Functions). Data Engineering & ETL: Redshift, Glue, Airflow, S3 Step Functions, Spark. Reporting & Visualisation: Power BI (preferred), Business Objects, Qlik. Data Warehousing: Data modeling … interpersonal skills, fostering a collaborative culture, and ensuring clear communication across teams. Desirable Skills & Experience: Experience with multiple programming languages, including Python, Shell Scripting, Spark, and Scala. Experience with Amazon Sagemaker. Allwyn is an Equal Opportunity Employer which prides itself in being diverse and inclusive. We do not tolerate discrimination, harassment, or victimisation in the workplace. All employment decisions More ❯

ideal for someone passionate about using data to support health research and services that positively impact lives. Key Responsibilities: Lead the architecture and delivery of scalable data platforms using Amazon Web Services (AWS) . Build and maintain end-to-end data pipelines and support the team in adopting CI/CD practices. Leverage AWS tools such as S3 , Glue … Redshift , and Lambda to process and analyse data efficiently. Use scripting such as Python , Bash , or R to automate workflows and develop data solutions. Implement version control through Git and GitHub , and contribute to a collaborative development environment. Manage a wide range of databases including MySQL , PostgreSQL , and PostGIS . Provide mentorship and leadership to a small team, encouraging More ❯