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Architect and manage a secure, scalable Databricks Lakehouse Platform on AWS, designing data platforms with AWS S3, Delta Lake, Unity Catalog, and Databricks Workspaces for enterprise use.
The Senior Backend Engineer will maintain and scale Seesaw's core platform, focusing on Python-based HTTP APIs, AWS infrastructure, and distributed systems reliability. The role involves end-to-end ownership of technical projects, from design and implementation to production monitoring and observability.
Build and operate low-latency, high-throughput backend systems that select and deliver ads in real time across Apple platforms while protecting user privacy.
Навыки: Python, PHP, MySQL, Kubernetes. Квалификация: Middle. Специализации: DevOps-инженер. О компании и команде Мы делаем САПР «БАЗИС» для автоматизации производства и продаж мебели, который занимает лидирующие…
DevSecOps/Platform Engineer responsible for standing up, securing, and operating AWS infrastructure powering AI capabilities on a large federal program, with secondary data engineering duties building data pipelines.
Description The Digital Health organization is technology team which focused on next generation Digital Health capabilities which deliver on the Medicine mission and vision to deliver Insight Driven Care. This role…
Senior Python backend developer building and maintaining applications, APIs, and microservices for a Brazilian tech consultancy. Core stack includes Python, FastAPI/Flask/Django, PostgreSQL/MongoDB, Redis, Docker, and Git.
Senior Backend & Data Engineer building a sports analytics/refereeing platform from scratch. Responsible for the server layer and data warehouse (PostgreSQL, Alembic), API development (FastAPI, Pydantic), and real-time features (SSE).
Data Engineer owning and scaling tracking data infrastructure that captures millions of user events daily, building ELT pipelines with Python, SQL, Airflow, Snowflake, and AWS.
Hybrid Snowflake Data Engineer building and managing a modern cloud data platform across ingestion, transformation, and delivery layers using Snowflake, dbt, Fivetran, AWS, SQL Server, SSIS/SSAS, and Sigma BI.
AsiaFinance Group is a fast-growing group of fintech companies operating in Asia. Our core business is digital consumer lending. Position: Java Developer Location: Remote (Global) Reported to: Chief Product Officer…
Staff Data Engineer designing and building data pipelines, ETL processes, and data platform infrastructure on AWS using Python to support data-driven decision making across the company.
Salary: £95,000 - 95,000 per year Requirements: We require active eDV clearance. We require the ability to hold a higher level of clearance. We are looking for strong Python skills. We are looking for experience with…
Salary: £75,000 - 100,000 per year Requirements: Strong understanding of data usage and dependencies, with experience extracting value and features from large-scale data Hands-on experience with AWS cloud data…
Salary: £80,000 - 95,000 per year Requirements: Extensive experience in Data Engineering and modern cloud data platforms, with AWS preferred. Strong SQL expertise and experience with dbt or similar ELT tools.…
Salary: £85,000 - 85,000 per year Requirements: Experience with Java (Springboot) and AWS cloud services (ECR, ECS, Lambda, API Gateway, S3, DynamoDB, Step Functions, Apigee) Proficiency in AngularJS, Jenkins, Karate,…
Senior full-stack consultant embedded with clients to design scalable cloud-native apps (TypeScript/React/NestJS), lead backend architecture, and mentor teams while bridging technical and stakeholder communication across US/Nordic projects.
This role involves designing and maintaining Python-based integrations and discovery agents for a network source-of-truth platform. The engineer will work in a backend-focused, AI-assisted environment to connect third-party network systems and controllers.
Build and orchestrate scalable ETL/ELT workflows using Python, Airflow, and cloud data platforms like Snowflake and AWS.
This Senior Staff Engineer role involves building and maintaining scalable, cloud-native full-stack applications using Python, React/Next.js, and AWS. The position focuses on microservices architecture, infrastructure management via Terraform, and CI/CD pipeline development.
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