Job ID: Amazon Web Services Australia Pty Ltd Are you a Senior Cloud Architect with GenAI consulting specialist? Do you have real-time Data Analytics, Data Warehousing, Big Data, Modern Data Strategy, Data Lake, Data Engineering and GenAI experience? Do you have senior stakeholder engagement experience to support pre-sales and deliver consulting engagements? Do you like to … learn and use services such 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, Amazon Quicksight and Amazon … to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most More ❯
Sr. Delivery Consultant - Data Analytics, Professional Services Job ID: Amazon Web Services Colombia S.A.S. - E40 The Professional Services (ProServe) team is seeking a skilled Sr. Delivery Consultant - Data Analytics to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that … AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Athena, Glue, Lambda, S3, DynamoDB, AmazonEMR and Amazon Redshift. Since this is a customer facing role, you might be required to travel to client locations and deliver professional services when needed, up to … to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most More ❯
data processing) Apache Spark Streaming, Kafka or similar (for real-time data streaming) Experience using data tools in at least one cloud service - AWS, Azure or GCP (e.g. S3, EMR, Redshift, Glue, Azure Data Factory, Databricks, BigQuery, Dataflow, Dataproc) Would you like to join us as we work hard, have fun and make history? Apply for this job indicates More ❯
Proven experience as a Data Architect or Lead Data Engineer in AWS environments * Deep understanding of cloud-native data services: S3, Redshift, Glue, Athena, EMR, Kinesis, Lambda * Strong hands-on expertise in data modelling, distributed systems, and pipeline orchestration (Airflow, Step Functions) * Background in energy, trading, or financial markets is a strong plus * Excellent knowledge of Python, SQL, and More ❯
Proven experience as a Data Architect or Lead Data Engineer in AWS environments* Deep understanding of cloud-native data services: S3, Redshift, Glue, Athena, EMR, Kinesis, Lambda* Strong hands-on expertise in data modelling, distributed systems, and pipeline orchestration (Airflow, Step Functions)* Background in energy, trading, or financial markets is a strong plus* Excellent knowledge of Python, SQL, and More ❯
the following: Python, SQL, Java Commercial experience in client-facing projects is a plus, especially within multi-disciplinary teams Deep knowledge of database technologies: Distributed systems (e.g., Spark, Hadoop, EMR) RDBMS (e.g., SQL Server, Oracle, PostgreSQL, MySQL) NoSQL (e.g., MongoDB, Cassandra, DynamoDB, Neo4j) Solid understanding of software engineering best practices - code reviews, testing frameworks, CI/CD, and code More ❯
Overview The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in … and scalable AI solutions for business problems Interact with customers directly to understand the business problem, assist in the implementation of their ML ecosystem Leverage Foundation Models on Amazon Bedrock and Amazon SageMaker to meet performance needs Analyze large historical data to automate and optimize key processes Communicate clearly with attention to detail, translating rigorous mathematical … compelling customer proposals and present to executives; proficient English communication in technical and business settings Preferred Qualifications Experience with AWS services (Amazon SageMaker, Amazon Bedrock, EMR, S3, EC2); AWS Certification (Solutions Architect Associate, ML Engineer Associate) preferred Knowledge of AI/ML, generative AI; hands-on prompt engineering and deploying hosting Large Foundational Models Experience More ❯
APIs & micro services-based solutions. 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 containers. Domain knowledge in Financial Industry and Capital Markets is a plus. Bachelor's degree in computer science More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Client Server
on data projects You have experience of establishing data analytics and supporting AI solutions You have a good working experience of AWS (e.g. S3, Kinesis, Glue, Redshift, Lambda and EMR) and/or Azure data services (e.g. ADF, Synapse, Fabric, Azure Functions) You have advanced client and stakeholder management skills What's in it for you: As a Data More ❯
processing engine such as DataBricks Workflows, Spark, Flink, Dask, dbt or similar - Experience building software and/or data pipelines in the AWS cloud (SageMaker Endpoints, ECS/EKS, EMR, Glue) Why Proofpoint Protecting people is at the heart of our award-winning lineup of cybersecurity solutions, and the people who work here are the key to our success. More ❯
platforms that power analytics, automation, and decision-making across Finance and Accounting domains. The ideal candidate will have strong expertise in AWS cloud technologies including Redshift, S3, AWS Glue, EMR, Kinesis, Firehose, Lambda, and IAM, along with hands-on experience designing secure, efficient, and resilient data architectures. You will work with large-scale structured and unstructured datasets, leveraging both … data warehousing, and building ETL pipelines Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field Extensive experience working with AWS with a strong understanding of Redshift, EMR, Athena, Aurora, DynamoDB, Kinesis, Lambda, S3, EC2, etc. Experience with coding languages like Python/Java/Scala Experience in maintaining data warehouse systems and working on large scale … data transformation using EMR, Hadoop, Hive, or other Big Data technologies Experience mentoring and managing other Data Engineers, ensuring data engineering best practices are being followed Experience with hardware provisioning, forecasting hardware usage, and managing to a budget Exposure to large databases, BI applications, data quality and performance tuning BASIC QUALIFICATIONS 3+ years of data engineering experience Experience with More ❯
are seeking an experienced Data Engineer with expertise in AWS cloud technologies to design and build ETL pipelines , data warehouses , and data lakes . Key Skills: AWS services like EMR, Glue, Redshift, Kinesis, Lambda, DynamoDB (or equivalent open-source tools). Note: We require candidates who are eligible for SC Clearance or possess a higher level of clearance. More ❯
are seeking an experienced Data Engineer with expertise in AWS cloud technologies to design and build ETL pipelines , data warehouses , and data lakes . Key Skills: AWS services like EMR, Glue, Redshift, Kinesis, Lambda, DynamoDB (or equivalent open-source tools). Note: We require candidates who are eligible for SC Clearance or possess a higher level of clearance. More ❯
Develop a data validation framework to automate quality control processes Requirements Over 3+ years of hands-on Python development experience for production systems Proficient in data cloud computing technologies (EMR, Databricks) within leading cloud platforms (AWS, Google Cloud, or Azure) Skilled in designing and implementing data pipelines using distributed storage platforms Demonstrated analytical skills and structured approach to software 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 ❯
Analytics Specialist SA, GCR Data Specialist SA team Amazon Web Services, an Company, has been the world's leading cloud provider for more than 17 years with the most mature, comprehensive, and broadly adopted cloud platform. We have over 200 fully featured cloud services, managed from 114 availability zones within 36 geographic regions across the globe. Millions of … cloud. The essential requirement includes experience of analytics area, especially in data warehouse and data lake technologies. Familiar with services and products related to data analysis, for example: Redshift, EMR, ElasticSearch, Flink, Spark, Hbase, Kafka, Kinesis, Trino, Hudi, Iceberg, etc.Experience with Data and AI projects and tool usage will be given priority. About the team Diverse Experiences AWS values … experience - 7+ years of IT development or implementation/consulting in the software or Internet industries experience - Familiar with services and products related to data analysis, for example: Redshift, EMR, OpenSearch, Flink, Spark, Hbase, Kafka, Kinesis, Trino, Hudi, Iceberg, etc. - Experience in deploying and maintaining big data projects. PREFERRED QUALIFICATIONS - Experience working within software development or Internet-related industries More ❯
Amazon, Earth's most customer-centric company, offers low prices, vast selection, and convenience through its world-class e-commerce platform. The Competitive Pricing team ensures customer trust through optimal pricing across all Amazon marketplaces. Within this organization, our Data Engineering team, part of the Pricing Big Data group, builds and maintains the global pricing data … from design to release. Additionally, you will provide technical leadership and mentoring to the data engineering team. This position offers an opportunity to make a significant impact on Amazon's pricing strategies and contribute to the company's continued growth and evolution in the e-commerce space. Key job responsibilities - Design, implement, and maintain data infrastructure for enterprise … 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) - Bachelor More ❯
Delivery Consultant- GenAI/ML, AWS, Industries Job ID: Amazon Web Services EMEA Dubai FZ Branch The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage … to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most … GenAI/ML solutions (e.g., for training, fine tuning, and inferences) PREFERRED QUALIFICATIONS - AWS Experience preferred, with a proficiency in a wide range of AWS services (e.g. SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, and EC2) - AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred - Experience with automation and scripting (e.g., Terraform, Python) - Knowledge More ❯
experience with Amazon Web Services (AWS), including but not limited to core IaaS (IAM, VPC, EC2, S3, EBS, ELB) and native AWS PaaS Services (Lambda, AWS Config, EMR, Athena, EKS, etc.) Hands-on experience with Azure public cloud, including core (compute, storage, networking) platform, PaaS and IAM offerings. Infrastructure experience (Server Administration, Networking, Storage, Security) A commitment More ❯
