Delivery Consultant - Data Analytics & GenAI, AWS Professional Services Public Sector Job ID: Amazon Web Services Australia Pty Ltd Are you a Data Analytics and GenAI specialist? Do you have real-time Data Analytics, Data Warehousing, Big Data, Modern Data Strategy, Data Lake, Data Engineering and GenAI experience? Do … 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 Bedrock. 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 More ❯
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 ❯
Amazon Marketing team is working on a platform that will provide real-time insights of traffic, sales, deals, engagement and is looking for a rock star data engineer to build this. At Amazon, understanding customer data is paramount to our success in making it Earth's … effective marketing organization. This cuts across all of the investments we do across various verticals of A.in, Prime, Fashion, Fresh, Pay etc. At Amazon you will be working in one of the world's largest and most complex data environments. You will be part of a team that … HiveQL, SparkSQL, Scala) - Experience with one or more scripting languages (e.g., Python, KornShell) 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 ❯
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 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 ❯
alongside experience with a variety of database technologies including Oracle, Postgres and MSSQLServer; Strong expertise in AWS services including AWS DMS, S3, Lambda, Glue, EMR, Redshift, and IAM. Proficient in Apache Spark (batch and/or streaming) and big data processing. Solid experience with SQL and performance tuning in … Redshift or equivalent, including table design, workload management, and implementing Redshift Spectrum. Experience building ETL/ELT pipelines using tools like AWS Glue, EMR, or custom frameworks. Familiarity with data modeling concepts. Excellent problem-solving and communication skills. Proficiency in Java and data pipeline development. Familiarity with version 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 ❯
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 ❯
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 ❯
London, England, United Kingdom Hybrid / WFH Options
Client Server
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 ❯
london, south east england, United Kingdom Hybrid / WFH Options
Client Server
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 ❯
infrastructure security practices, including data privacy, model security, and compliance standards like GDPR and SOC 2. Familiarity with AWS big data tools (Redshift, Glue, EMR) for processing large datasets to support machine learning models. Preferred Qualifications: AWS Certified Machine Learning - Specialty or other relevant certifications. Experience with machine learning More ❯
and frontend engineering. Hands-on experience with AWS Cloud-based application development, including EC2, ECS, EKS, Lambda, SQS, SNS, RDS Aurora MySQL & Postgres, DynamoDB, EMR, and Kinesis. Solid engineering background in machine learning, deep learning, and neural networks. Experience with containerized stacks using Kubernetes or ECS for development, deployment 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 ❯
Are you interested in rapidly growing business? The Amazon ARTS team is responsible for creating core analytics tech capabilities and data engineering services for ROW (the rest of the world excl. NA and EU) countries. It comprises of platforms development, research science, software development and data engineering. ARTS … milestone planning and lead it to smooth launch with limited manager guidance. Help stakeholders and junior teammates ramp up with team internal and Amazon tech products (e.g., Redshift Cluster, Datanet, Query Performance). Develop data pipelines (daily/intra-day/real-time) independently. Routine KTLO on data … Ruby 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience with big data technologies such as: Hadoop, Hive, Spark, EMR Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions Our inclusive culture empowers Amazonians More ❯
About Amazon We hire the world's brightest minds and offer them an environment in which they can invent and innovate to improve the experience for our customers. A Fortune 100 company based in Seattle, Washington, Amazon is the global leader in e-commerce. Amazon … roadmap. Key job responsibilities Architecture design and implementation of next generation data pipelines and BI solutions Manage AWS resources including EC2, RDS, Redshift, Kinesis, EMR, Lambda, Glue, Apache Airflow etc. Build and deliver high quality data architecture and pipelines to support business analyst, data scientists, and customer reporting needs. … SparkSQL, Scala) Experience with one or more scripting language (e.g., Python, KornShell) PREFERRED QUALIFICATIONS Experience with big data technologies such as: Hadoop, Hive, Spark, EMR Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or 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 ❯
is looking to hire a rock star Sr. Data Engineer to build and manage the largest petabyte-scale data infrastructure in India for Amazon India businesses. IN Data Engineering & Analytics (IDEA) team is the central Data engineering and Analytics team for all A.in businesses. The team's charter … deliverables, and obsessed with customer delight and business impact. Key job responsibilities Design and implement automation to manage our massive data infrastructure for Amazon IN's analytics needs. Build solutions to meet BAA (Best At Amazon) standards for system efficiency, IMR efficiency, data availability, and compliance. … or NodeJS Track record in manipulating, processing, and extracting value from large datasets Preferred technical skills Experience with AWS technologies like Redshift, S3, Glue, EMR, Kinesis, FireHose, Lambda, IAM Building large-scale, high-throughput data systems Experience with big data tools such as Hadoop, Hive, Spark, EMR Technical 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 ❯
Data Engineering Manager, Amazon Music Technology We are seeking an ambitious Data Engineering Manager to join our Metrics and Data Platform team. The Metrics and Data Platform team plays a critical role in enabling Amazon Music's business decisions and data-driven software development by collecting … Engineers. Your team collects billions of events a day, manages petabyte-scale datasets on Redshift and S3, and develops data pipelines with Spark, SQL, EMR, and Airflow. You will collaborate with product and technical stakeholders to solve challenging data modeling, data availability, data quality, and data governance problems. At … least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience hiring, developing and promoting engineering talent - Experience communicating to senior management and customers verbally and in writing PREFERRED QUALIFICATIONS - Experience with AWS Tools More ❯
