76 to 100 of 114 Remote Amazon Redshift Jobs

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 ❯

bricks · One or more of the following key technology skills: o Systems integration, APIs – REST, SOAP etc o SQL Server Integration Services (SSIS) o Amazon RedShift o Azure Synapse o SQL Server o Oracle Database o Oracle Data Integrator o Oracle Integration Cloud o Business Objects Data Services More ❯

depth. Your Experience Proven experience as a Data Architect or senior-level Data Consultant in cloud transformation projects. AWS expertise across data services (e.g., Redshift, Glue, Lake Formation, S3, etc.). Strong grasp of data strategy, governance, and architecture best practices in cloud environments. Experience working across business domains More ❯

marketplace operations . Familiarity with supporting AI/ML lifecycle projects , including domain-specific recruitment or task curation. Understanding of data warehousing platforms (e.g., Redshift, Snowflake). Experience in fast-paced environments where speed, clarity, and flexibility are essential. What you'll be doing in the role Strategic Planning More ❯

/marketplace operations. Familiarity with supporting AI/ML lifecycle projects, including domain-specific recruitment or task curation. Understanding of data warehousing platforms (e.g., Redshift, Snowflake). Experience in fast-paced environments where speed, clarity, and flexibility are essential. What you'll be doing in the role Strategic Planning More ❯

into data to uncover trends, insights, and opportunities for smarter, more effective CRM campaigns. Run complex SQL queries across large datasets (in databases like Redshift). Track and optimise CRM campaign performance—turning results into meaningful recommendations. Decode customer behaviours using CRM and data models to drive sharper targeting. More ❯

using Snowflake and AWS. The ideal candidate must have: Strong experience as an AWS Data Engineer Lead the design and implementation of Snowflake and Redshift based data warehousing solutions within an AWS environment Extensive experience in AWS services, e.g. EC2, S3, RDS, DynamoDB, Redshift, Lambda, API Gateway Develop More ❯

years of professional experience Understanding of cloud architectures and enabling tools and technologies, such as, AWS Cloud (GovCloud/C2S). Familiar with Amazon Web Managed Services (AWS). Working knowledge with software platforms and services, such as, Docker, Kubernetes, JMS/SQS, SNS, Kafka, AWS Lambda, NiFi, Airflow … or similar. Proficient experience utilizing JavaScript, Elasticsearch, JSON, SQL, XML. Working knowledge with datastores MongoDB/DynamoDB, PostgreSQL, S3, Redshift, JDBC/ODBC, and Redis. Familiar with Linux/Unix server environments. Experience with Agile development methodology. Publishing and/or presenting design reports Coordinating with other team members More ❯

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 behavior 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 ❯

Responsibilities: Recent experience with Databricks and an understanding of the latest features and tools on the platform. In-depth knowledge of AWS services (S3, Redshift, Glue) and how they integrate with Databricks. Contribute to both High-Level and Low-Level architectural design, producing comprehensive architectural artefacts. Data integration expertise More ❯

Strong knowledge of data platforms, including SQL/NoSQL databases, DataOps and MLOps, and big data technologies (e.g., Apache Spark, Databricks, Fabric, Snowflake, AWS Redshift). Experience designing and deploying cloud-based data solutions on AWS, Azure, or Google Cloud. Proficiency in AI/ML ecosystems such as Azure … ML, Databricks, MLflow, Amazon Sagemaker and/or Bedrock with experience deploying and monitoring models in production. Understanding of data governance, security, and compliance frameworks, including GDPR and ISO 27001. Knowledge of data visualisation tools (e.g., Power BI, Tableau, Quicksight, Python visualisations) is beneficial. Soft skills and leadership Ability More ❯

ideal candidate will have extensive experience migrating traditional data warehouse technologies, including Teradata, Oracle, BW, Hadoop to modern cloud data platforms like Databricks, Snowflake, Redshift, Bigquery, or Microsoft fabric. You will be responsible for leading data platform migrations and the design and development of scalable data solutions that support … practices and standards for data modeling, integration, and management. Platform Design and Implementation: Architect, design, and implement data warehouse solutions using platforms like Databricks, Redshift, BigQuery, Synapse, and Snowflake. Develop scalable big data solutions using cloud data technologies and services. Ensure the data architecture supports data quality, security, and … data solutions. 5+ years of experience working in Cloud AWS, GCP or Azure. 5+ years of experience working in modern cloud data platforms (Databricks, Redshift, BigQuery, Synapse, SAP Datasphere, and Snowflake.) 5+ years of experience designing Cloud Infrastructure on AWS, GCP or Azure. Extensive experience with data warehouse platforms More ❯

s responsibilities currently span across three different areas: Data Engineering: development and maintenance of ETL pipelines, services and APIs, and data-related infrastructure like Redshift or BigQuery; Data Science and Machine Learning: data exploration, ML models training and ML Ops to extract new insights from data; Analytics and Reporting … service to other engineering teams in a Flask API; Our current technology stack primarily includes Linux, Docker, Kubernetes, Jenkins, Kafka, Python, Flask, Postgres, AWS Redshift, dbt, Google Bigquery, Prometheus, Grafana, Elastic Search, Kibana, Sisense. Your responsibilities As a member of the data team, your responsibilities will include contributions to … can also be user facing e.g. sending notifications to users; Ensuring our data lake is kept in a healthy state, particularly our data warehouses: Redshift and Bigquery; Developing and maintaining Flask services and Postgres databases within the Data team to provide access to data or manage certain business entities More ❯

📊 Senior Business Intelligence Engineer 📺Clientside media and tech brand 📍 Location: London, UK with hybrid working. 3 days in office, 2 days WFH 💰 Exceptional salary + bonus + great benefits You MUST have right to work in the UK. Ready to More ❯

📊 Senior Business Intelligence Engineer 📺Clientside media and tech brand 📍 Location: London, UK with hybrid working. 3 days in office, 2 days WFH 💰 Exceptional salary + bonus + great benefits You MUST have right to work in the UK. Ready to More ❯

years of relevant experience. Strong experience with cloud architectures and enabling tools/technologies such as AWS Cloud (GovCloud/C2S) and Amazon Web Managed Services. Proficiency in JavaScript, Angular, Typescript, Node.js, MongoDB, JSON, SQL, XML. High-level experience in backend programming languages including Java/Spring and Python. … Working knowledge of datastores such as MongoDB, DynamoDB, PostgreSQL, S3, Redshift, Redis, and Elasticsearch. Familiarity with technologies including jQuery, ASP/.Net, NoSQL, PL/SQL, LDAP, HTTP, REST/SOAP, RDBMS. Experience with Configuration Management and CI tools: Git/Gitlab, Jenkins, SonarQube, Maven, Ansible, Chef. Comfortable in More ❯

and technical standards. Good command line and scripting knowledge. Knowledge of plugins for above software applications, including but not limited to - Red Giant Complete, Redshift 3D, Arnold Renderer, Keentools Geotracker, NeatVideo, Boris FX Sapphire, Continuum and Mocha Pro, Insydium X-Particles, Chaos Group V-Ray. It would be great More ❯

understanding technology choices available and mapping the most appropriate data technology to each use case Expertise in designing, modelling and optimising using relational (e.g. Amazon, RDS), NoSQL (e.g. DynamoDB, DocumentDB) and data warehouses (e.g. Redshift) Expertise in designing scalable, high performance data platform architecture using AWS native or More ❯

years of relevant experience Understanding of cloud architectures and enabling tools and technologies, such as, AWS Cloud (GovCloud/C2S) Familiar with Amazon Web Managed Services (AWS) JavaScript, Angular, Typescript, Node.js, MongoDB, JSON, SQL, XML High experience level with back-end programming languages (Java/Spring, Python) Working knowledge … with datastores MongoDB, DynamoDB, PostgreSQL, S3, Redshift, Redis, and Elasticsearch Familiar with technologies jQuery, ASP/.Net, NoSQL, PL/SQL, LDAP, HTTP, REST/SOAP, RDBMS Familiar with Configuration Management and CI Tools, such as, Git/Gitlab, Jenkins, SonarQube, Maven, Ansible, Chef Familiar with Linux/Unix More ❯

quality and skilled in bridging the gap between data engineers and business intelligence (BI) engineers? Do you have solid experience in SQL and AWS Redshift? If so, we have the perfect role for you! Everyone is welcome. We have a culture of creativity. We approach our work passionately, improve … assurance processes to uphold high standards of accuracy and reliability across our systems. Optimizing data pipelines and identifying areas for efficiency improvements in AWS Redshift environments. Establishing monitoring processes to track data quality metrics and proactively addressing anomalies. Providing actionable insights to stakeholders by supporting BI teams with clean … we’d like to see from you: Strong proficiency in SQL, with hands-on experience in writing and optimizing complex queries. Expertise in AWS Redshift, including its architecture, performance tuning, and best practices. A problem-solving mindset with an analytical approach to data challenges. Excellent communication skills to work More ❯

Infrastructure Own and optimize data architecture, ensuring scalability and efficiency. Partner with Ops Engineering to improve data pipelines and integrations. Manage and optimize AWS Redshift and other key platforms. Define and enforce data governance best practices. AI & Analytics for Customer and Product Insights Extract insights from customer interactions using … Practical stuff we anticipate you having Must-Have: 8+ years of experience in data engineering, product analytics, or SaaS. Strong experience with SQL, AWS Redshift, and ETL pipelines. Proficiency with BI tools (Looker, Metabase, Mixpanel). Experience with AI-driven analytics and NLP techniques. Strong communication and stakeholder management More ❯

Role : AWS Architect Location :London, UK (Hybrid) Duration :Contract/permanent We are seeking a highly experienced and skilled Lead AWS Architect with 12-15 years of experience in IT architecture and cloud solutions. The ideal candidate will have a More ❯

Join us on our mission to make a better world of work. Culture Amp is the world's leading employee experience platform, revolutionizing how 25 million employees across more than 6,500 companies create a better world of work. Culture More ❯

exercises. Strong Excel skills required. Systems & Tools: Business Applications: Microsoft Office Suite, Project, Visio, Excel power user, Smartsheets, Hive Data applications and languages: Datorama, Amazon S3, Redshift, MS SQL Server, Alteryx, Tableau, R, Python Marketing and media platforms: Prisma, MediaOcean, Doubleclick, Google Analytics, Adobe Analytics (Omniture), DV360, Google More ❯

team to build, test, document and maintain the data solutions that are both scalable and supportable. The Data Architect should understand database solutions (Postgres, Redshift, Aurora, Athena) and formal database designs (3NF, Dimensional Models) Key Responsibilities: Data/Information Vision and Strategy, which includes the ability to work with … written communication skills. Strong analytical, problem solving and investigative skills. Experience in applying quality and compliance requirements. Experience with multiple database solutions (e.g. Postgres, Redshift, Aurora, Athena) and formal database designs (3NF, Dimensional Models). Experience in AWS cloud-based data solutions. Experience working with financial data (O2C, P2P More ❯