151 to 175 of 349 Permanent Amazon Redshift Jobs

with top analytical tools that allow for a deep-dive. Our tech stack includes some of the best in the industry, SQL (currently on Amazon Redshift), dbt, Tableau and Python. A day in the life Play a key role in building, optimising and innovating existing processes, setting the More ❯

strategy and implementation. 3+ years of experience managing and evolving data models, working with commercial data warehouses, ETL tools, and data visualization platforms (e.g., Redshift, Looker, Tableau). Strong communication and collaboration skills, with the ability to present technical concepts to non-technical audiences and lead multi-department analytics More ❯

maintaining traceability between requirements and solution components. Knowledge of standard engineering and service management methodologies. Experience with database technologies such as MySQL, Oracle, or Amazon Redshift. Experience with tools like Power BI, Pentaho Business Analytics, ElasticSearch, Solr, or Apache Kafka. Mentoring and coaching skills. Desired Skills: Experience with Python More ❯

Tech Stack & Skills: Strong BI development experience within ETL/data warehousing environments. Experience with Oracle Data Integrator (ODI) in an AWS S3/Redshift setting or equivalent tools (Informatica, SSIS). Solid SQL development and performance tuning capabilities. Exposure to web APIs and Python (desirable). Understanding of More ❯

of the build/deployment pipeline. Full stack experience though primarily Java, GraphQL, Spring Framework, and Angular 8+. Secondary focus on wider technology stack (Redshift, Spark, etc.). Application Profiling and Tuning. Work cross-functionally with various teams, creating solutions that deal with large volumes of data. Work with More ❯

Tech Stack & Skills: Strong BI development experience within ETL/data warehousing environments. Experience with Oracle Data Integrator (ODI) in an AWS S3/Redshift setting or equivalent tools (Informatica, SSIS). Solid SQL development and performance tuning capabilities. Exposure to web APIs and Python (desirable). Understanding of More ❯

Tech Stack & Skills: Strong BI development experience within ETL/data warehousing environments. Experience with Oracle Data Integrator (ODI) in an AWS S3/Redshift setting or equivalent tools (Informatica, SSIS). Solid SQL development and performance tuning capabilities. Exposure to web APIs and Python (desirable). Understanding of More ❯

a real difference every day. Why This Role is Perfect for You: • Learn and Grow: Get stuck into using the latest AWS tools like Redshift, S3, and Kafka. You will be designing data models and building ETL pipelines, which means you are always learning something new and adding valuable More ❯

a real difference every day. Why This Role is Perfect for You: • Learn and Grow: Get stuck into using the latest AWS tools like Redshift, S3, and Kafka. You will be designing data models and building ETL pipelines, which means you are always learning something new and adding valuable More ❯

maintaining traceability between them and solution components. Experience of standard engineering and service management methodologies. Experience of database technology such as MySQL, Oracle or Amazon Redshift. Experience of one of the following: Power BI, Pentaho Business Analytics, ElasticSearch, Solr, Apache Kafka. Mentoring and coaching. Desired Skills: Experience of Python More ❯

Low-Level Designs and interface control documents. Experience of standard engineering and service management methodologies. Experience of database technology such as MySQL, Oracle or Amazon Redshift. Experience of one of the following: Power BI, Pentaho Business Analytics, ElasticSearch, Solr, Apache Kafka. Experience of mentoring and coaching more junior colleagues. More ❯

You will work with large datasets and some of the best tech in the industry, such as powerful Python instances for data analysis and Redshift for data warehousing. You will have the opportunity to mentor junior team members, fostering their growth and development within the team. Projects our Senior More ❯

/or others for prompt and model optimisations. Comfortable working with databases (relational & vector), and large-scale data sets and pipelines (e.g. AWS Glue, Redshift, RDS, Pinecone, Opensearch). Hands-on experience with AI Cloud Infrastructure for MLOps (e.g.Google Vertex AI/AWS Bedrock), including deploying AI applications and More ❯

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 … and 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: A candidate More ❯

Business Intelligence Engineer II, ORBIT - Amazon Logistics Japan Have you ever ordered a product on Amazon and when that box with the smile arrived you wondered how it got to you so fast? Have you wondered where it came from and how much it cost Amazon to … deliver it to you? If so, the World Wide Amazon Logistics, Last Mile team is for you. We manage the delivery of tens of millions of products every week to Amazon's customers, achieving on-time delivery in a cost-effective manner to deliver a smile for our … customers. Amazon Logistics is looking for a customer focused, innovative and technically skilled Sr. Business Intelligence Engineer to drive effective performance measurement and management, innovation and execution in last mile delivery. This position will be responsible for building out analysis and visualization tools and processes' to support our growing More ❯

SQL, data warehousing, and data storing Highly skilled with ETL processes, data warehousing, and data storing Exposure to cloud-based data platforms such as Redshift 2+ years’ commercial experience within Data Engineering and/or Data Science More ❯

SQL, data warehousing, and data storing Highly skilled with ETL processes, data warehousing, and data storing Exposure to cloud-based data platforms such as Redshift 2+ years’ commercial experience within Data Engineering and/or Data Science More ❯

tools (Erwin, ER/Studio, Toad Data Modeler, etc) Extensive Data Modeling experience in same or similar bigdata and cloud databases such as Hive, Redshift, Snowflake and on prem databases such as Oracle, SQL Server and DB2 Should have experience in working with product managers, project managers, business users More ❯

engineering, AI/ML fundamentals, and data platform architecture. Experience with or exposure to Starburst, Dell Data Lakes, and Data Warehousing technologies (e.g., Snowflake, Redshift, BigQuery). Excellent communication and presentation skills, capable of breaking down complex topics into actionable insights. Organized, adaptable, and confident delivering training across time More ❯

engineering, AI/ML fundamentals, and data platform architecture. Experience with or exposure to Starburst, Dell Data Lakes, and Data Warehousing technologies (e.g., Snowflake, Redshift, BigQuery). Excellent communication and presentation skills, capable of breaking down complex topics into actionable insights. Organized, adaptable, and confident delivering training across time More ❯

engineering, AI/ML fundamentals, and data platform architecture. Experience with or exposure to Starburst, Dell Data Lakes, and Data Warehousing technologies (e.g., Snowflake, Redshift, BigQuery). Excellent communication and presentation skills, capable of breaking down complex topics into actionable insights. Organized, adaptable, and confident delivering training across time More ❯

engineering, AI/ML fundamentals, and data platform architecture. Experience with or exposure to Starburst, Dell Data Lakes, and Data Warehousing technologies (e.g., Snowflake, Redshift, BigQuery). Excellent communication and presentation skills, capable of breaking down complex topics into actionable insights. Organized, adaptable, and confident delivering training across time More ❯

with deep learning frameworks like TensorFlow, Keras, PyTorch, MXNet. - Fluency in written and spoken English. PREFERRED QUALIFICATIONS - Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue). - PhD or Master's degree in Computer Science, or related technical, math, or scientific field. - Proven knowledge of Generative AI More ❯

Compose & Enterprise Manager. To be successful, you must demonstrate: Experience supporting and administering SAS Analytics Experience administering and configuring Informatica Knowledge of SSIS, AWS Redshift, AWS concepts & practices, Agile methodologies, ServiceNow, and Jira Knowledge of SQL Server databases, supporting applications within AWS and Azure, and understanding systems management procedures More ❯

as required by the business Oversee the investigation/development of new methods for data analysis such as AI Essential criteria: Power BI, Azure, Redshift, Databases, Power Platform, Dev Ops, SQL Design and development of Power BI artefacts and environments Numerical analysis methods Stakeholder management and consensus building Working More ❯