Senior Delivery Consultant: Data Analytics & GenAI Job ID: Amazon Web Services Australia Pty Ltd Are you a Senior Data Analytics and 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 … 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: Support pre-sales and 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 More ❯
Strong communication skills and demonstrated ability to engage with business stakeholders and product teams. Experience in data modeling , data warehousing (e.g., Snowflake , AWS Glue , EMR , Apache Spark ), and working with data pipelines . Leadership experience—whether technical mentorship, team leadership, or managing critical projects. Familiarity with Infrastructure as Code More ❯
Strong communication skills and demonstrated ability to engage with business stakeholders and product teams. Experience in data modeling , data warehousing (e.g., Snowflake , AWS Glue , EMR , Apache Spark ), and working with data pipelines . Leadership experience—whether technical mentorship, team leadership, or managing critical projects. Familiarity with Infrastructure as Code 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 ❯
Pandas, SQL, and AWS analytics services (Glue, Athena, Redshift) for data profiling, transformation, and validation within data lakes. Solid experience with AWS (S3, Lambda, EMR, ECS/EKS, CloudFormation/Terraform) and understanding of cloud-native architectures and best practices. Advanced skills in automating API and backend testing workflows More ❯
Pandas, SQL, and AWS analytics services (Glue, Athena, Redshift) for data profiling, transformation, and validation within data lakes. Solid experience with AWS (S3, Lambda, EMR, ECS/EKS, CloudFormation/Terraform) and understanding of cloud-native architectures and best practices. Advanced skills in automating API and backend testing workflows 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 ❯
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 ❯
NoSQL databases, including Postgres and Cassandra. Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc. Experience with AWS cloud services: EC2, EMR, RDS, Redshift. Experience with stream-processing systems: Storm, Spark-Streaming, etc. Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala 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 ❯
the Amazon Web Services (AWS) cloud platform. Skilled in scalable, reliable, and efficient data solutions, often using AWS services like S3, Redshift, EMR, Glue, and Kinesis. This involves designing ETL processes, ensuring data security, and collaborating with other teams for data analysis and business requirements Key Skills … AWS Services: Strong understanding and experience with AWS services like S3 , Redshift, EMR, Glue , Kinesis, and Lambda. Programming Languages: Proficiency in programming languages like Python or Java, used for designing and building data pipelines. SQL: Knowledge of SQL for querying and manipulating data in relational databases. ETL Processes: Experience 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 ❯
The Amazon Pricing & Promotions Analytics team seeks a Senior Data Engineer to build automated pricing solutions that deliver competitive prices to customers. In this role, you will design and implement data analytics solutions that drive pricing decisions while creating automated anomaly detection systems to monitor pricing effectiveness. Your … recommendations. Key job responsibilities - Design and implement modern data pipelines and business intelligence solutions - Configure and optimize AWS services including EC2, RDS, Redshift, Kinesis, EMR, and Lambda - Create scalable data architecture to support analytics, data science, and customer reporting needs - Collaborate with technology teams to develop ETL processes across … 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 ❯
NodeJS Knowledge of distributed systems as it pertains to data storage and computing 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 … 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 ❯
AEE, you will: Design, implement, and support analytical data infrastructure for both business intelligence and machine learning applications Manage AWS resources including EC2, Redshift, EMR-Spark, etc. Collaborate with applied scientists to build data pipelines for training machine learning models Work with Product Managers, Financial, and Business analysts to … engineering experience 4+ years of SQL experience Experience with data modeling, warehousing, and ETL pipelines Proficiency with AWS technologies such as Redshift, S3, Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles Experience with non-relational databases and data stores (object storage, document, key-value, graph, column-family) Our inclusive More ❯
