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Lead backend software engineering for an innovative data company

Open
HyperData
HyperData
Toronto, Ontario, Canada
JC
Judah Cooper He
Chief Executive Officer
Preferred learners
  • Anywhere
  • Academic experience
Categories
Computer science & it Cloud technologies Software development Artificial intelligence Databases
Project scope
What is the main goal for this project?

The main objective of this project is to significantly elevate the capability and efficiency of Hyperdata's data transformation API, a cornerstone technology currently processing terabytes of data for businesses worldwide. Our mission extends beyond mere data cleaning; we aim to disrupt the current landscape dominated by tools like dbt by enhancing our API's speed, scalability, and feature set. This project is about solidifying our position as the go-to solution for companies seeking not just to manage but to truly leverage their data, transforming the way businesses interact with and benefit from their information assets.

What tasks will learners need to complete to achieve the project goal?

To successfully achieve the project goal of enhancing Hyperdata's API capabilities, learners will need to undertake a comprehensive set of tasks focused on both technical and strategic aspects of backend development. These activities include:


  1. Cloud Infrastructure Management: Learners will manage and optimize cloud services to ensure our API's scalability and reliability. This involves configuring cloud resources, monitoring performance metrics, and implementing best practices for cloud security and cost-efficiency.
  2. Data Engineering Optimization: This task focuses on improving the efficiency and throughput of the data processing pipeline. Learners will analyze current data handling processes, identify bottlenecks, and implement optimizations to handle larger datasets more efficiently without sacrificing speed or data integrity.
  3. SQL Script Writing: Writing and optimizing SQL scripts is crucial for enhancing the API's data transformation capabilities. Learners will develop new SQL scripts for advanced data manipulation tasks and refine existing scripts for performance, ensuring that our API can offer a wide range of data transformation functionalities.
  4. API Feature Development: Developing new features and integrations that expand the API's capabilities, making it more versatile and useful for a broader range of business applications. This includes adding new data transformation features, integrating with other data sources and tools, and improving the API's usability.
  5. Performance Benchmarking and Testing: Conducting rigorous testing and benchmarking to measure the API's performance improvements. Learners will use a variety of data sets to test speed, reliability, and accuracy, making adjustments as needed to meet performance goals.
  6. Documentation and Example Creation: Updating the API documentation and creating detailed examples of how to use the new features and integrations. This task is vital for ensuring that users can quickly understand and implement the enhanced capabilities of our API.


By completing these tasks, learners will contribute to making Hyperdata's API a more powerful tool for businesses, disrupting traditional data transformation methods and setting new standards for efficiency and ease of use in the industry.

How will you support learners in completing the project?

To ensure the successful completion of the project by our learners, Hyperdata is committed to providing comprehensive support and mentorship. This structured support system includes several key components designed to equip learners with the necessary resources, knowledge, and guidance throughout the project lifecycle:


  1. Dedicated Mentorship: Learners will be paired with experienced mentors from our team, who have expertise in areas relevant to the project, such as API development, cloud infrastructure, and data engineering. These mentors will offer one-on-one guidance, answering questions, providing feedback, and helping learners navigate challenges.
  2. Access to Tools and Technology: We will provide learners with full access to the necessary tools and technologies required for the project. This includes licenses for cloud platforms like Google Cloud Platform (GCP), development and collaboration tools, and any other specialized software needed to design, develop, and test enhancements to our API.
  3. Collaborative Environment: We foster a collaborative learning environment where learners can share ideas, ask questions, and work together on solving problems. This includes access to collaborative tools and platforms that facilitate effective teamwork and communication.
  4. Real-World Application: By working on a project with direct implications for our product and clients, learners will experience the challenges and rewards of contributing to a leading-edge technology solution in a supportive, real-world context.


Hyperdata is dedicated to nurturing talent and providing learners with an enriching experience that not only contributes to their personal and professional growth but also drives innovation and excellence within our company.

What skills or technologies will help learners to complete the project?

Learners would benefit from prior experience with the following:


  1. Google Cloud Platform (GCP): Proficiency in navigating and optimizing GCP services, with a focus on leveraging cloud solutions for scalable and efficient backend infrastructure.
  2. API Design: Deep understanding of API development principles, including RESTful services, GraphQL, and API security best practices, ensuring the API is robust, user-friendly, and secure.
  3. Relational Databases (Postgres): Strong knowledge in managing and optimizing relational databases, particularly PostgreSQL, including schema design, query optimization, and performance tuning.
  4. DevOps (CI/CD, Automated Testing, Deployment): Experience with continuous integration and continuous deployment pipelines, automated testing frameworks, and modern deployment strategies to ensure high-quality, reliable software releases.
  5. Backend Web Development: Skills in building scalable backend systems, understanding of web server technologies, and proficiency in handling server-side logic and integration with frontend systems.
  6. Strong Python Experience: Expertise in Python, given its importance in data manipulation and backend development, including familiarity with Python's data handling libraries and frameworks.
  7. Data Engineering: Knowledge of data engineering practices, including ETL processes, data warehousing, and working with big data technologies, to efficiently process and manage large datasets.
  8. Cloud-Native Technologies: Understanding of cloud-native technologies, including Kubernetes and Docker, for containerization and orchestration of microservices.
Supported causes
Industry, innovation and infrastructure
About the company

At HyperData we are pioneering a new era of data transformation, providing an advanced API that empowers businesses to convert raw data into clean, actionable information efficiently. Our core mission is to simplify the complexities of data handling, enabling companies across various sectors to harness the full potential of their data assets. Since our inception, we have established a strong track record of success, working with leading companies in the insurance, fintech, healthcare, and education industries.

Our proprietary API is designed to process terabytes of data, offering a scalable, robust solution that integrates seamlessly into existing business workflows. By focusing on performance, scalability, and ease of use, we have created a tool that not only improves data quality but also accelerates decision-making processes and enhances operational efficiencies.