176 to 200 of 371 Remote Amazon Redshift Jobs

management & analytics A functional understanding of SAP Material Management and experience with SAP Logistics Analytics . Strong expertise in Snowflake (or similar platforms like Redshift/BigQuery) A deep understanding of SAP BW extractors and CDS views Hands-on Power BI experience (data modelling, extraction, dashboarding) Experience leading a More ❯

and design • Relational and non-relational database architectures • Maintaining and developing self-hosted and DBaaS Cloud databases (AWS/AZURE) • Data warehouse solutions (e.g., Redshift, Panoply, Snowflake) • Structured Query Languages (e.g., MySQL, MariaDB, MSSQL) • NoSQL Technologies (e.g., MongoDB, Elasticsearch, CouchDB) • Using access control policies and management systems (Active Directory More ❯

detect and surface data quality issues. Recent projects the team has delivered: Refactoring of our MySQL Ingestion pipeline for reduced latency and 10x scalability. Redshift -> Snowflake migration Unified Local Analytics Development Environment for Airflow and DBT Building our next generation company metrics framework, adding anomaly detection and alerting, and 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 ❯

Essential Criteria Ability to work in an agile delivery and multi-supplier large organisation Database Technologies (Oracle, DB2, MS SQL Server, AWS RDS and RedShift) Data exploitation tools, including some or all of the following: Pentaho Business Analytics, SAS Enterprise Guide/Enterprise Miner, SAS Visual Analytics, PowerBI, R More ❯

/OHDSI software including ATLAS and HADES/automated testing frameworks/Posit products including Posit Workbench and Posit Connect/AWS Workspace and Amazon Redshift/Agile software development/machine learning and artificial intelligence. Education/Qualifications: Bachelor’s degree in statistics, analytics, programming or equivalent. More ❯

CRM Master Data Model using Azure Logic Apps and Power Automate. Desirable: Strong knowledge of SQL and data processing libraries like Pandas. Experience with Amazon Redshift or similar technologies. Knowledge of agile software development practices, and examples of providing leadership in supporting these practices in the workplace. What More ❯

CRM Master Data Model using Azure Logic Apps and Power Automate. Desirable: Strong knowledge of SQL and data processing libraries like Pandas. Experience with Amazon Redshift or similar technologies. Knowledge of agile software development practices, and examples of providing leadership in supporting these practices in the workplace. What More ❯

CRM Master Data Model using Azure Logic Apps and Power Automate. Desirable: Strong knowledge of SQL and data processing libraries like Pandas. Experience with Amazon Redshift or similar technologies. Knowledge of agile software development practices, and examples of providing leadership in supporting these practices in the workplace. What More ❯

role is fully remote in the UK. What you will be doing: Enhance and scale our data infrastructure: Build upon our existing DBT pipelines, Redshift warehouse, and Segment integration to ensure robust, scalable, and accessible data systems. Prepare for advanced analytics: Lay the groundwork for data science projects such More ❯

Skills and Experience Must Have: Strong expertise in SQL and Python. Proficiency in PySpark. Experience with AWS cloud services. Nice to Have: Experience with Redshift and Snowflake. This role is suited for those who thrive in a technically challenging environment and are eager to drive innovation within the insurance More ❯

challenges, and make a significant difference daily. Why This Role is Perfect for You: Learn and Grow: Utilize the latest AWS tools such as Redshift, S3, and Kafka. Design data models and build ETL pipelines to continually acquire new skills. Transform raw data into insights that influence business decisions More ❯

For Proven experience in data governance , data quality , or data operations roles. Hands-on experience with modern cloud data platforms – ideally Databricks , Snowflake , or Redshift on AWS . Proficiency in SQL and Python for data manipulation and automation. Familiarity with Unity Catalog , data cataloging , or lineage tools (e.g., Alation More ❯

Databricks Azure SQL Tableau/Power BI Knowledge of data modeling, IT architecture, and systems integration is also necessary. Familiarity with Azure Data Factory, RedShift, Informatica, Qlik, or similar tools is advantageous. Experience with Oracle OBIEE and Oracle Analytics Cloud is desirable. You should be a self-starter with 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 ❯

BI A knowledge of data modelling and of general IT architecture and systems integration is also required. Other technologies such as Azure Data Factory, RedShift, Informatica, Qlik or similar are also useful and you will be tech curious, keen and open-minded to learning new skills. Experience in Oracle More ❯

BI A knowledge of data modelling and of general IT architecture and systems integration is also required. Other technologies such as Azure Data Factory, RedShift, Informatica, Qlik or similar are also useful and you will be tech curious, keen and open-minded to learning new skills. Experience in Oracle More ❯

BI A knowledge of data modelling and of general IT architecture and systems integration is also required. Other technologies such as Azure Data Factory, RedShift, Informatica, Qlik or similar are also useful and you will be tech curious, keen and open-minded to learning new skills. Experience in Oracle More ❯

BI A knowledge of data modelling and of general IT architecture and systems integration is also required. Other technologies such as Azure Data Factory, RedShift, Informatica, Qlik or similar are also useful and you will be tech curious, keen and open-minded to learning new skills. Experience in Oracle More ❯

SQL A knowledge of data modelling and of general IT architecture and systems integration is also required. Other technologies such as Azure Data Factory, RedShift, Informatica, Qlik or similar are also useful and you will be tech curious, keen and open-minded to learning new skills. Experience in Oracle More ❯

data architecture and best practice data integration approaches Experience working with Microsoft Data solutions, such as Fabric and/or solutions such as Snowflake, Redshift Engaged with key stakeholders, supporting them to understand data technologies, the opportunities, risks and benefits. Led small teams that deliver data warehouse and or More ❯

SQL A knowledge of data modelling and of general IT architecture and systems integration is also required. Other technologies such as Azure Data Factory, RedShift, Informatica, Qlik or similar are also useful and you will be tech curious, keen and open-minded to learning new skills. Experience in Oracle More ❯

England, United Kingdom 2 weeks ago London, England, United Kingdom 2 days ago London, England, United Kingdom 1 day ago Big Data Engineer - AWS Redshift + Kafka - to £100k ID37553 London, England, United Kingdom 2 weeks ago London, England, United Kingdom 3 weeks ago Graduate Software Engineer (Data & Infrastructure More ❯

software development environments and technologies, e.g.: Software development (Python, JavaScript, ASP, C#, HTML5) Data storage technologies (SQL, . Net, NoSQL (Neo4J, Neptune), S3, AWS (Redshift) ) Web development technologies and frameworks (e.g. Angular, AngularJS, ReactJ) DevOps methodologies and practices Software testing principles and practices (e.g., unit, integration, E2E testing, QA More ❯

software development environments and technologies, e.g.: Software development (Python, JavaScript, ASP, C#, HTML5) Data storage technologies (SQL, . Net, NoSQL (Neo4J, Neptune), S3, AWS (Redshift) ) Web development technologies and frameworks (e.g. Angular, AngularJS, ReactJ) DevOps methodologies and practices Software testing principles and practices (e.g., unit, integration, E2E testing, QA More ❯