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Senior Data Platform Engineer
hace 1 mes
LocalStack is a dynamic, fast-growing startup with a global presence. We specialize in creating world-class tools for cloud application developers. Our flagship product, the LocalStack cloud emulator, enables users to develop cloud applications entirely on their local machines. With a robust open-source community and hundreds of thousands of active users, LocalStack is on an exciting growth journey. Our international customer base includes Fortune Global 500 companies, and our team of top-tier engineers is dedicated to becoming the leading platform for local cloud software development.
Job Requirements:
- Design and implement data architectures and models that support efficient storage, processing, and analysis of large datasets.
- Build and maintain scalable, agile, and efficient data pipelines and ETL processes to handle diverse data sources.
- Develop robust data models and implement data solutions that directly drive business success.
About the Role:
This is a critical role in addressing the challenges of our data platform. You will be working at the heart of what will make LocalStack successful in the long run. You will help build and optimize data pipelines, automate the generation of insights from large datasets, and enable data-driven decision-making across the organization.
Responsibilities:
- Data Architecture & Modelling: Design and implement data architectures and models that support efficient storage, processing, and analysis of large datasets.
- Data Pipeline Development: Build and maintain scalable, agile, and efficient data pipelines and ETL processes to handle diverse data sources.
What We Offer:
As a member of our team, you will have the opportunity to work on challenging projects, collaborate with top-tier engineers, and contribute to the growth and success of LocalStack.
