151 to 175 of 187 Amazon Redshift Jobs

three to five new markets and lead the migration of two international businesses onto our shared data infrastructure, including migrations from Databricks and Redshift to GCP. This is a senior leadership role requiring strong organisational judgement, technical credibility, and the ability to operate across strategy, delivery, people leadership ...

support analytics, AI and operational workloads. Leading cloud transformation initiatives, migrating legacy environments to modern data platforms including Snowflake, Databricks, BigQuery, Synapse, Redshift and other cloud-native technologies. Building Proof of Concepts (PoCs) and Minimum Viable Products (MVPs) for AI and advanced analytics solutions, ensuring they align with business … least 6 years designing cloud-based data platforms using AWS, Azure or GCP. Hands-on expertise with technologies such as Snowflake, Databricks, Synapse, BigQuery, Redshift or similar enterprise data platforms. Strong knowledge of Infrastructure-as-Code, DevOps, CI/CD, networking, security and identity management for modern cloud environments. ...

lead backend engineering and data-focused work for a real-time platform. You’ll design resilient services, data models and pipelines, integrating Postgres, Redshift and analytics APIs in a fintech context. The role offers a remote-first setup with quarterly in-person meetups in London; UK-based applicants only. ...

team see fit. Our Stack Relational Databases: AWS Aurora MySQL/PostgreSQL NoSQL Databases: MongoDB Atlas, AWS DocumentDB Caching Layer: AWS ElastiCache, Valkey OLAP: Redshift Database Proxy: RDS Proxy Infrastructure as Code: Terraform, Ansible CI/CD Integration: Jenkins, ArgoCD, Github Action, Helm Network & Security: AWS VPC, Security Groups ...

from problem framing through to experiment readouts and impact evaluation Tech Stack Our analyses are written in SQL and Python, on data stored in Redshift and modeled with dbt. Amplitude is our source of truth for in-app event data, funnels, and experimentation readouts, and Looker for cross-domain ...

Amazon UK Services Ltd. Data is at the heart of procurement. Do you want to make that data AI-ready — powering not just insight but autonomous decision-making and action at a global scale? As a Data Engineer on the Global Procurement Technology team, you will build the data … foundation that drives AI transformation across Amazon's procurement organization. You will design and deliver data solutions end to end: creating supplier entity relationships, aggregating supplier data, enabling supplier performance and risk analysis, and providing supplier sourcing recommendations worldwide. Your work will directly shape how procurement teams make decisions ...

The Data Architect is responsible for designing, building, and managing the data warehouse’s data architecture, ensuring it is scalable, secure, and optimized for performance. This position plays a crucial role in shaping our data ...

reality. You would work as part of a team on a cutting-edge Microservices architecture and using TypeScript/Express/AWS Lambdas, Redshift, MySQL, MongoDB and Micro-frontends built on React. This will allow you to take responsibility for solutions from design to deployment. You will be working ...

outstanding interpersonal abilities. The responsibilities we’ll trust you with Designing and architecturing data lakehouse solutions using AWS cloud services (S3, Glue, Athena, Redshift, Lake Formation) Implementing robust data governance frameworks with particular attention to PII (Personally Identifiable Information) protection and regulatory compliance Managing data residency and territorial integrity … Databricks, Delta Lake, Apache Flink, or similar technologies) Strong, hands-on AWS cloud experience including services such as S3, Glue, Lake Formation, Athena, and Redshift Demonstrated expertise in PII data management, including encryption, masking, and access control mechanisms Experience building and maintaining ML feature stores or production ML pipelines ...

maintain the batch and ELT pipelines the ML work sits on, using Python, PySpark, and cloud data services (e.g., AWS Glue, EMR, S3, Redshift, Athena, or the Databricks/Snowflake equivalents), making sound decisions on architecture, data modelling, and tooling and weighing up trade-offs in performance, cost … need to be the person designing the model Have designed and operated production data pipelines on a modern cloud data platform, AWS (Glue, EMR, Redshift, S3/Lake Formation), Databricks, Snowflake or comparable, and can talk about which of those decisions would travel to a different one, and which ...

maintain the batch and ELT pipelines the ML work sits on, using Python, PySpark, and cloud data services (e.g., AWS Glue, EMR, S3, Redshift, Athena, or the Databricks/Snowflake equivalents), making sound decisions on architecture, data modelling, and tooling and weighing up trade-offs in performance, cost … need to be the person designing the model Have designed and operated production data pipelines on a modern cloud data platform, AWS (Glue, EMR, Redshift, S3/Lake Formation), Databricks, Snowflake or comparable, and can talk about which of those decisions would travel to a different one, and which ...

maintain the batch and ELT pipelines the ML work sits on, using Python, PySpark, and cloud data services (e.g., AWS Glue, EMR, S3, Redshift, Athena, or the Databricks/Snowflake equivalents), making sound decisions on architecture, data modelling, and tooling and weighing up trade-offs in performance, cost … need to be the person designing the model Have designed and operated production data pipelines on a modern cloud data platform, AWS (Glue, EMR, Redshift, S3/Lake Formation), Databricks, Snowflake or comparable, and can talk about which of those decisions would travel to a different one, and which ...

maintain the batch and ELT pipelines the ML work sits on, using Python, PySpark, and cloud data services (e.g., AWS Glue, EMR, S3, Redshift, Athena, or the Databricks/Snowflake equivalents), making sound decisions on architecture, data modelling, and tooling and weighing up trade-offs in performance, cost … need to be the person designing the model Have designed and operated production data pipelines on a modern cloud data platform, AWS (Glue, EMR, Redshift, S3/Lake Formation), Databricks, Snowflake or comparable, and can talk about which of those decisions would travel to a different one, and which ...

problems, and can take responsibility for quality, investigations and remediation. Experience with cloud data services. We use AWS data and analytics services, such as Amazon S3, Redshift, Kinesis, Data Firehose, Athena and AWS Glue. Nice to have: Has made use of AI during the development cycle, including ...

problems, and can take responsibility for quality, investigations and remediation. Experience with cloud data services. We use AWS data and analytics services, such as Amazon S3, Redshift, Kinesis, Data Firehose, Athena and AWS Glue. Nice to have: Has made use of AI during the development cycle, including ...

reporting and post-trade activities across major clients. The role involves delivering data & analytics products on top of the Data Management platform, built on Amazon Redshift and S3, and requires strong stakeholder communication throughout #J-18808-Ljbffr ...

major retail banks. The project you will take on involves developing Data & Analytics products on top of their Data Management platform, built on Amazon Redshift & S3. Project Manager (Data & Analytics) – Required Experience : Experience working as a Project Manager within a Financial Services company, or within a software vendor ...

data platforms and improve live service monitoring across a complex technical environment. Key responsibilities: Provide live support across Denodo, Talend, PDI, Git, MySQL and Amazon Redshift. Create and consolidate Grafana dashboards into a unified Live Service view, with drill-down functionality. Implement monitoring and alerting for legacy services where ...

Provide live service support across data platforms and integration technologies. Support and maintain environments utilising: Denodo, Talend, Pentaho Data Integration (PDI), Git, MySQL and Amazon Redshift. Design, create, and consolidate Grafana dashboards across multiple services. Develop a centralised live service view, enabling drill-down capability by individual service. Gather ...

Data Engineer II (1 Year FTC), Supply Chain Optimization Technologies - Planning Job ID: 10590990 | Amazon EU SARL (UK Branch) **This is a 1 Year FTC contract** Are you passionate about building data solutions that power decisions at massive scale? As a Data Engineer II at Amazon, you will … troubleshoot production incidents at their root cause. About the team Our team is focused on building reliable, scalable data infrastructure that empowers teams across Amazon to make faster, better-informed decisions. We value collaboration, technical curiosity, and a commitment to simplifying complex systems. As we continue to grow ...

large-scale data platform or data warehouse migration (cutover, reconciliation, parallel running, decommissioning) Deep, hands-on AWS data experience: Glue, Lambda, S3, Redshift and EMR Advanced Python, PySpark and SQL Production experience with Kafka or Amazon MSK, including Spark Structured Streaming Hands-on experience with Apache Iceberg ...

Data Engineer | Python, SQL & AWS | Up to £80k | Fully Remote Fancy being part of a new data team, with the opportunity to help build and shape the platform from day one? I'm working with ...

Design, develop, and maintain high-performance, scalable, high volume and efficient ETL/ELT pipelines to extract, transform, and load data from various sources such as Oracle. Create and optimize data models and schemas to ...

have made in your current and previous roles You enjoy having primary ownership of parts of a platform Experience with AWS services, such as Amazon S3, Lambda, Redshift, Kinesis, Data Firehose, Athena and AWS Glue Nice to have Has made use of AI during the development cycle, including ...

further What they're looking for: Previous experience as a Technical Lead (hands-on) Deep, hands-on AWS data experience: Glue, Lambda, S3, Redshift and EMR Advanced Python, PySpark and SQL Production experience with Kafka or Amazon MSK, including Spark Structured Streaming Hands-on experience with Apache Iceberg ...