176 to 200 of 349 Permanent Amazon Redshift Jobs

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 ❯

/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 More ❯

and networking optimisations for data-intensive applications Data warehouse expertise : Extensive experience with columnar and/or real-time analytics databases like ClickHouse and Redshift, including performance tuning, query optimisation, and scaling strategies Modern data engineering experience : Hands-on expertise with modern data processing frameworks, ETL/ELT patterns 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 Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features … cloud services. Each day, thousands of developers make trillions of transactions worldwide on our cloud. Almost all of them are harnessing the power of Amazon Web Services (AWS) to enable innovative applications, websites, and businesses. We store all these transactions for analysis and reporting. Amazon Web Services is … customers. We are truly leading the way to disrupt the data 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 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 ❯

maintain curated data layers to support reporting, analytics, and decision-making Ensure high availability, scalability, and performance of data warehouse systems (cloud-based, e.g., Redshift) Develop & Manage Data Products: Collaborate with business and domain experts to define and deliver high-value, reusable data products Implement best practices around versioning … as a Data Engineer, with a strong focus on data warehousing and data modeling Hands-on experience with cloud-native data tech (preferably AWS: Redshift, Glue, S3, Lambda, IAM, Terraform, GitHub, CI/CD) Proficiency in SQL and Python for data processing and automation Experience working with data modeling More ❯

modern technologies and cloud solutions to develop analytics products? DSP Analytics team has an exciting opportunity for a Business Intelligence Engineer (BIE) to improve Amazon's Delivery Service Partner (DSP) program through impactful data solutions. The goal of Amazon's DSP organization is to exceed the expectations of … ensuring that their orders, no matter how large or small, are delivered as quickly, accurately, and cost effectively as possible. To meet this goal, Amazon is continually striving to innovate and provide best in class delivery experience through the introduction of pioneering new products and services in the last … rigor to simplify and inform the larger team of noteworthy trends that impact the business. Retrieve and analyze data using a broad set of Amazon's data technologies (ex. Redshift, AWS S3, Amazon Internal Platforms/Solutions) and resources, knowing how, when, and which to use. Earn More ❯

Business Intelligence Engineer, Amazon Payments Amazon Payment team creates and manages a global portfolio of products, including co-branded credit cards, installment financing, third party redemptions, and financial services marketplaces. Within this team we are looking for a BIE specifically for supporting Japan Payment Products. We are looking … operations, and marketing decisions. Interfacing with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL (Redshift, Oracle) and ability to use a programming and/or scripting language to process data for modeling. Evolve organization-wide Self-Service platforms. Building … ambiguous projects with incomplete or dirty data. - Knowledge and direct experience using business intelligence reporting tools such as Tableau/QuickSight. - Experience working with Redshift, Cradle or other AWS tools is a plus. Hands-on experience with Python, R is a plus. Our inclusive culture empowers Amazonians to deliver 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 ❯

with Restful API design patterns (JSON/AJAX etc.) Building and maintaining CI/CDPipelines Experience in enterprise database creation and management (SQL, Oracle, Redshift) Demonstrated experience in setting up and managing data in cloud computing environment (AWS or MS Azure). More ❯

integration, particularly using Typescript 5+ years of experience with HTML, CSS/SCSS and JavaScript Proficient in SQL and NoSQL databases, including Aurora Postgres, Redshift, DynamoDB Experience with Python, PHP, and NodeJS development Familiarity with AWS services, including but not limited to, S3, CloudWatch, and CloudFormation templating More ❯

integration, particularly using Typescript 5+ years of experience with HTML, CSS/SCSS and JavaScript Proficient in SQL and NoSQL databases, including Aurora Postgres, Redshift, DynamoDB Experience with Python, PHP, and NodeJS development Familiarity with AWS services, including but not limited to, S3, CloudWatch, and CloudFormation templating More ❯

even the entire data division. From a hands-on perspective, you’ll be designing and maintaining robust ETL pipelines, working with tools like AWS Redshift, S3, and Kafka, and collaborating with internal stakeholders to deliver insights into player behaviour and gaming analytics. You’ll work across both real-time 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 ❯

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 ❯

build integrations with APIs to automate workflows and enhance data processing. Investigate and resolve technical challenges across SQL, Oracle PL/SQL, AWS Athena, Redshift, and other cloud infrastructure to ensure data integrity and system efficiency. Guide engineers and analysts by defining clear priorities, streamlining sprint planning, and ensuring … Hands-on coding experience with Python for automation, API integrations, and scripting. AWS & Cloud Infrastructure: Familiarity with AWS services such as S3, Lambda, RDS, Redshift, and Athena. API & System Integration: Experience building or consuming REST APIs and integrating systems efficiently. Automation & Efficiency Mindset: Ability to streamline workflows using scripting … scheduled jobs, and smart automation. Data Expertise Experience querying, transforming, and analysing large datasets across multiple databases (Oracle, Redshift, AWS Athena). Strong ability to investigate data inconsistencies, optimize queries, and build efficient data processing workflows. Experience with ETL/ELT processes, integrating external data sources, third-party APIs More ❯

Work model: Hybrid Status: Full-Time, Permanent Responsibilities: Design, develop, and maintain scalable ETL pipelines using AWS services such as Glue, Lambda, S3, and Redshift Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and ensure data availability and integrity Implement and optimize data storage solutions … plus 5+ years of experience in data engineering with a focus on AWS services Strong experience with AWS services such as S3, Glue, Lambda, Redshift, DynamoDB, and Athena Proficiency in programming languages such as Python, Java, or Scala Experience with SQL and NoSQL databases Familiarity with data warehousing concepts More ❯

Develop APIs and microservices and dbt to integrate RAG capabilities with existing data sources (mainly user behaviour data, metadata and semantic layer, stored in Redshift, but also other sources e.g. HR systems, legal repositories, SharePoint, etc.). Manage and optimize LibreChat UI and Openweb UI Pipelines for chatbot interactions. … Python, FastAPI, Flask, or Node.js for backend API development. Experience with LLM-based architectures, retrieval-augmented generation (RAG), and NLP techniques. Proficiency in SQL, Redshift, and data warehousing concepts. Experience integrating structured and unstructured data sources for AI-driven applications. Knowledge of dbt, metadata management, and semantic search. Familiarity More ❯

Python Be part of a group of engineers building data pipelines using big data technologies (Spark, Flink, Kafka, Snowflake, AWS Big Data Services, Snowflake, Redshift) on medium to large scale datasets Work in a creative & collaborative environment driven by agile methodologies with focus on CI/CD, Application Resiliency … experience working on real-time data and streaming applications 2+ years of experience with NoSQL implementation (DynamoDB, OpenSearch) 2+ years of data warehousing experience (Redshift or Snowflake) 3+ years of experience with UNIX/Linux including basic commands and shell scripting 2+ years of experience with Agile engineering practices More ❯

Python Be part of a group of engineers building data pipelines using big data technologies (Spark, Flink, Kafka, Snowflake, AWS Big Data Services, Snowflake, Redshift) on medium to large scale datasets Work in a creative & collaborative environment driven by agile methodologies with focus on CI/CD, Application Resiliency … experience working on real-time data and streaming applications 2+ years of experience with NoSQL implementation (DynamoDB, OpenSearch) 2+ years of data warehousing experience (Redshift or Snowflake) 3+ years of experience with UNIX/Linux including basic commands and shell scripting 2+ years of experience with Agile engineering practices More ❯

Job Title: Senior Staff IT Analytics Engineer Location: Hybrid Position type: FLSA: Full time Exempt Department: Finance ID: IT AI and Analytics -5-P Profoundly Improve People's lives by Revolutionizing the Delivery of RNA Therapeutics At Avidity Biosciences, we More ❯

Role: Data Lead Location: Knutsford Contract Role Job Description: AWS Services: Glue, Lambda, IAM, Service Catalogue, Cloud Formation, Lake Formation, SNS, SQS, Event Bridge Language & Scripting: Python and Spark ETL: DBT Good to Have: Airflow, Snowflake, Big Data (Hadoop), and More ❯

that pushes the boundaries of modern technology? If you answered yes and you have a background in FinTech you'll love this role and Amazon's data obsessed culture. Amazon Devices and Services Fintech is the global team that designs and builds the financial planning and analysis tools … for a wide variety of Amazon's new and established organisations. From Kindle to Ring and even new and exciting companies like Kuiper (our new interstellar satellite play) this team enjoys a wide variety of complex and interesting problem spaces. They are almost like FinTech consultants embedded in Amazon. … service analytics tools BASIC QUALIFICATIONS Bachelor's degree in Computer Science, Engineering, Mathematics, or related field 5+ years of analysing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience with data visualisation using Tableau, Quick sight, or similar tools Experience independently leading and delivering end-to-end analytics More ❯