latest data analytics technologies? Would you like a career path that enables you to progress with the rapid adoption of cloud computing? At Amazon Web Services, we're hiring highly technical cloud architect specialised in data analytics to collaborate with our customers and partners to derive business value … as AWS Glue, Amazon S3, Amazon DynamoDB, Amazon Relational Database Service (RDS), AmazonElastic Map Reduce (EMR), Amazon Kinesis, Amazon Redshift, Amazon Athena, AWS Lake Formation, Amazon DataZone, Amazon SageMaker and … Amazon Quicksight. Solutions - Deliver technical engagements with partners and customers. This includes participating in pre-sales visits, understanding customer requirements, creating consulting proposals and creating packaged data analytics service offerings. Delivery - Engagements include projects proving the use of AWS services to support new distributed computing solutions that often More ❯
NodeJS Knowledge of distributed systems related to data storage and computing Preferred skills and experience 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 More ❯
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 More ❯
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 More ❯
Kafka and Kinesis DataHub ML Flow and Airflow Docker and Terraform Kafka, Spark, Kafka Streams and KSQL DBT AWS, S3, Iceberg, Parquet, Glue and EMR for our Data Lake Elasticsearch and DynamoDB More information: Enjoy fantastic perks like private healthcare & dental insurance, a generous work from abroad policy More ❯
and unstructured data from multiple sources, ensuring efficient data ingestion, transformation, and storage. Develop and optimize data lake and data warehouse solutions using Amazon S3, Redshift, Athena, and Lake Formation. Implement data governance, security, and compliance best practices, including IAM roles, encryption, and access controls. Monitor and optimize … cloud technologies. Proficiency in Python, PySpark, SQL, and AWS Glue for ETL development. Hands-on experience with AWS data services, including Redshift, Athena, Glue, EMR, and Kinesis. Strong knowledge of data modeling, warehousing, and schema design. Experience with event-driven architectures, streaming data, and real-time processing using Kafka More ❯
preferred; other languages include Java, Scala, TypeScript, C++, C#). Experience using big data technologies in cloud environments to build data pipelines (e.g. Spark, EMR, Lambda, etc.). Excellent communication, organization, and prioritization skills, with a strong ability to deliver results within tight timelines. Passionate about working with small More ❯
with other languages including Java, Scala, TypeScript, C++, C#). Experience using big data technologies in cloud environments to build data pipelines (e.g. Spark, EMR, Lambda etc.). Excellent communication, organisation and prioritisation skills, and have a strong ability to deliver results within tight timelines. Passionate to work with More ❯
Preferred Qualifications: Domain knowledge in Financial Industry and Capital Markets is a plus. Working knowledge in AWS cloud (EC2, ECS, Load Balancer, Security Group, EMR, Lambda, S3, Glue, etc.). Experience in DevOps development and deployment using Docker and containers. Python experience is a plus. About S&P Global More ❯
skills You have experience with big data frameworks and tools including Spark You have a good knowledge of AWS data services (e.g. S3, Redshift, EMR, Glue) You have strong analytical, problem solving and critical thinking skills You have excellent communication skills and experience of working across teams What's More ❯
agent AI systems Our technology stack Python and associated ML/DS libraries (Scikit-learn, Numpy, LightlGBM, Pandas, TensorFlow, etc...) PySpark AWS cloud infrastructure: EMR, ECS, S3, Athena, etc. MLOps: Terraform, Docker, Airflow, MLFlow, Jenkins More Information Enjoy fantastic perks like private healthcare & dental insurance, a generous work from More ❯
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 … develop technology that improves the lives of shoppers and sellers around the world. About Team The RBS team 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. Overview of the role More ❯
Basic Knowledge of User Interface design & development using Angular, React, HTML5, XML & CSS Working knowledge in AWS cloud (EC2, ECS, Load Balancer, Security Group, EMR, Lambda, S3, Glue, etc.) Experience in DevOps development and deployment using docker and containers. Domain knowledge in Financial Industry and Capital Markets is a More ❯
data stack, including (but not limited to) spark/hadoop, kafka, Aerospike/Dynamodb Experience with AWS tech stack, including but not limited to EMR, Athena, EKS Expert knowledge of multi-threading, memory model, etc. Understanding of database fundamentals and MySQL knowledge Experience with CICD tools such as Jenkins 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 engine. Our team is building complex, massive data systems to capture data during every step in the automated pipeline and use that data to proactively predict efficiency and cost improvements to deliver the packages fast to … 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 More ❯
to drive strategic direction? Based in Tokyo, the JP Science and Data Technologies team designs, builds, operates, and scales the data infrastructure powering Amazon's retail business in Japan. Working with a diverse, global team serving customers and partners worldwide, you can make a significant impact while continuously … and implement strategic data opportunities. Key job responsibilities Your key responsibilities include: - Create data solutions with AWS services such as Bedrock, Redshift, S3, Glue, EMR, Lambda, SageMaker, CloudWatch etc. - Implement Generative AI and ML models by developing robust and scalable data architectures. - Develop and improve the operational excellence, data … oriented programming language (Python, Java). - Business level English (written and verbal) PREFERRED QUALIFICATIONS - Experience working with AWS technologies (e.g., Lambda, CloudWatch, QuickSight, Athena, EMR, DynamoDB, RDS, etc.). - Experience in MLOps, generative AI, large language models (LLMs), and collaborating with data science teams. - Experience providing technical leadership and More ❯
to drive strategic direction? Based in Tokyo, the JP Science and Data Technologies team designs, builds, operates, and scales the data infrastructure powering Amazon's retail business in Japan. Working with a diverse, global team serving customers and partners worldwide, you can make a significant impact while continuously … all, has a passion for data. You will contribute to the MLOps and data platform, which enables various ML and analytical solutions for Amazon Japan. Leveraging your deep experience in data infrastructure and passion for enabling data-driven business impact, you will work closely with economists, scientists, ML … data modeling, data warehousing, ETL/ELT pipelines and BI tools. - Experience with cloud-based big data technology stacks (e.g., Hadoop, Spark, Redshift, S3, EMR, Glue, SageMaker, DynamoDB etc.) - Knowledge of data management and data storage principles. - Expert-level proficiency in writing and optimizing SQL. - Ability to write code 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 AmazonElastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's … 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 services. The successful candidate will shape … 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 More ❯
develop and define key business questions and requirements. You will provide guidance and support for other engineers with industry best practices and direction. Amazon Web Services (AWS) has culture of data-driven decision-making, and demands timely, accurate, and actionable business insights. AWS Utility Computing (UC) provides product … 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. • Develop and manage ETLs to source data from various commercial, sales and operational systems and create unified data … Ability to deal with ambiguities and competing priorities. - Prior experience in AWS stack including Glue Crawler, Glue Catalog, Glue Pipelines, Lake Formation, Redshift, QuickSight, EMR/Hive, Spark, Scala, - Prior experience in programming using Python - Experience with AWS as cloud - AWS certification will be plus. - Any knowledge/skill More ❯
deploy containerised workloads to AWS through managed Kubernetes and scale on-demand to satisfy burstable workloads. Other managed services we use in AWS include EMR, RDS, OpenSearch, MSK and bespoke EC2 solutions. All infrastructure is managed through Terraform, our source code is in GitHub and automation through GH actions. More ❯
pushes the boundaries of modern technology? If you answered yes and you have a background in FinTech, you'll love this role and Amazon's data-obsessed culture. Amazon Devices and Services Fintech is the global team that designs and builds financial planning and analysis tools … management, and reporting challenges. Key job responsibilities Design and implement next-generation financial solutions using AWS resources such as EC2, RDS, Redshift, Step Functions, EMR, Lambda, and third-party software like TM1. Build and deliver high-quality, scalable data pipelines capable of handling data for month-end close processes … PREFERRED QUALIFICATIONS Experience with non-relational databases (object storage, document, key-value, graph, column-family). Experience with AWS services like Redshift, S3, Glue, EMR, Kinesis, FireHose, Lambda, IAM. Proficiency in programming languages such as Python, Java, shell scripting. Experience with IBM Planning Analytics/TM1 scripting and rules. More ❯
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 … 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 … 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 More ❯
