51 to 75 of 114 Remote Amazon Redshift Jobs

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 ❯

managing modern data platforms and cloud environments (e.g. Azure, AWS, GCP) Familiarity with BI tools (Power BI, Looker) and data warehousing platforms (e.g. Snowflake, Redshift) Comfortable in build-phase environments — someone who thrives on shaping new functions and culture Why This Role is Unique You’ll own data transformation More ❯

managing modern data platforms and cloud environments (e.g. Azure, AWS, GCP) Familiarity with BI tools (Power BI, Looker) and data warehousing platforms (e.g. Snowflake, Redshift) Comfortable in build-phase environments — someone who thrives on shaping new functions and culture Why This Role is Unique You’ll own data transformation More ❯

alike. Self-motivated with a proactive approach to identifying opportunities and recommending scalable, creative solutions. Exposure to some of the following technologies: Python, AWS Redshift, AWS Athena/Apache Presto, Big Data technologies (e.g S3, Hadoop, Hive, Spark, Flink, Kafka etc), NoSQL systems like Cassandra, DBT is nice to More ❯

alike. Self-motivated with a proactive approach to identifying opportunities and recommending scalable, creative solutions. Exposure to some of the following technologies: Python, AWS Redshift, AWS Athena/Apache Presto, Big Data technologies (e.g S3, Hadoop, Hive, Spark, Flink, Kafka etc), NoSQL systems like Cassandra, DBT is nice to More ❯

use cases. Experience in building and deploying live software services in production. Exposure to some of the following technologies (or equivalent): Apache Spark, AWS Redshift, AWS S3, Cassandra (and other NoSQL systems), AWS Athena, Apache Kafka, Apache Flink, AWS, and service-oriented architecture. What you'll get: Full responsibility 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

exciting challenges, and making a real impact every day! Why You’ll Love This Role: ✅ Learn & Grow – Work with cutting-edge AWS tools like Redshift, S3, and Kafka. Build ETL pipelines and refine data models while expanding your skillset. 💡 Make an Impact – Turn raw data into insights that shape More ❯

exciting challenges, and making a real impact every day! Why You’ll Love This Role: ✅ Learn & Grow – Work with cutting-edge AWS tools like Redshift, S3, and Kafka. Build ETL pipelines and refine data models while expanding your skillset. 💡 Make an Impact – Turn raw data into insights that shape More ❯

exciting challenges, and making a real impact every day! Why You’ll Love This Role: Learn & Grow – Work with cutting-edge AWS tools like Redshift, S3, and Kafka. Build ETL pipelines and refine data models while expanding your skillset. Make an Impact – Turn raw data into insights that shape More ❯

A/B testing platforms - ideally GrowthBook. Extensive Mixpanel experience, including event design, orchestration, and implementation via a Customer Data Platform. Proficient in SQL (Redshift environment) and Python or R. Strong statistical knowledge and experience applying it in real-world product contexts. Experience with Looker or similar data visualisation 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 ❯

IL6) DoD Compliant Framework, Landing Zone, or similar deployments AWS Cloudformation, Stacks, CI/CD Pipelines, VPC/Networking, State Machines, EC2, S3, Athena, Redshift, CloudTrail, Config, CloudWatch, AWS GuardDuty, IAM/SSO/RBAC Understanding of OSI model and common networking practices (routing, subnetting, VLAN, BGP) Comfort with More ❯

with experience balancing multiple projects Extras We'd Be Excited About Familiarity with Posit Connect, workflow orchestration tools (e.g., Airflow), AWS services (e.g., SageMaker, Redshift), or distributed computing tools (e.g., Spark, Kafka) Experience in a media or newsroom environment Agile team experience Advanced degree in Maths, Statistics, or a More ❯

Data Engineer, you'll design and maintain ETL pipelines integrating data from sources like Facebook, Google Analytics, and payment providers. Using tools like AWS Redshift, S3, and Kafka, you'll optimize data models for batch and real-time processing. Collaborating with stakeholders, you'll deliver actionable insights on player … APIs like Facebook, Google Analytics, and payment providers. Develop and optimize data models for batch processing and real-time streaming using tools like AWS Redshift, S3, and Kafka. Lead efforts in acquiring, storing, processing, and provisioning data to meet evolving business requirements. Perform customer behaviour analysis, gaming analytics, and … roles, with a proven ability to lead and mentor a team. Expertise in SQL, Python, and R. Strong proficiency in AWS technologies such as Redshift, S3, EC2, and Lambda. Experience with Kafka and real-time data streaming technologies. Advanced skills in building ETL pipelines and integrating data from APIs. More ❯

promoting a culture of innovation, collaboration, and continuous development. Key Responsibilities: Design, develop, test, and deploy data integration pipelines in AWS using services like Redshift, Glue, Athena, Lambda, and S3. Lead a team of data engineers, guiding their technical work and fostering professional development. Create technical documentation, including architecture … design a consistent and scalable reporting experience. Essential Qualifications & Experience: 10+ years of experience in data engineering or data integration roles using AWS (e.g. Redshift, Glue, Athena, Lambda, S3). 5–8 years of management or team leadership experience. 5–8 years in a consulting or client-facing delivery More ❯