Data Engineer

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About Us

The Story of Village Book Builders starts with the simple love of books. Books encourage us to think critically, build empathy, imagine moonshots and help us build brighter futures together. Unfortunately, not all children have access to quality educational resources and the dearth of books is just the beginning of a vicious cycle.

This is why we created Village Book Builders: A non-profit aiming to help communities re-establish learning cultures through access to safe local libraries, books, technology, and 1:1 student mentorship. Today we call this Hope Through Books.

First runner-up in Stanford Longevity Design Challenge (2020), the Engineering division of Village Book Builders is looking for self-starter interns & volunteers passionate about making a difference by leveraging their core competencies.

About This Position

We are on the lookout for a skilled Data Engineer to become an integral part of our data science team. In this role, you'll employ a variety of techniques to convert raw data into valuable data systems. This includes crafting algorithms and performing statistical analyses to support our business objectives. The ideal candidate will possess robust analytical capabilities, adeptness at integrating data from diverse sources, and a proficiency in programming languages. Your task will be to innovate and maintain our data infrastructure, ensuring the highest quality and reliability of our data systems, with a keen focus on integrating data from platforms like Google Suite, PostgreSQL, and Digital Ocean.

Responsibilities

• Design and implement data systems and pipelines.
• Assess business needs and goals to align data engineering strategies.
• Analyze data to discern trends and patterns, providing actionable insights.
• Develop complex algorithms and prototypes to solve specific data challenges.
• Merge data from varied sources to create cohesive and comprehensive data sets.
• Investigate methods to improve data quality and system reliability continuously.
• Seek out new data acquisition opportunities to enhance our data analytics capabilities.
• Create and refine analytical tools and programs to support our data science initiatives.

Qualifications

• Proven work experience as a Data Engineer, or a similar role, with a portfolio of data engineering projects.
• Deep technical proficiency in data modeling, data mining, and segmentation techniques.
• Strong knowledge of programming languages, including but not limited to JavaScript.
• Hands-on experience with SQL database design and management.
• A Bachelor’s degree in Computer Science, IT, or a related field is required; a Master’s degree is highly regarded.
• Any data engineering certifications, such as the IBM Certified Data Engineer, will be considered an advantage.
• Experience with Django or similar web frameworks is beneficial, indicating familiarity with web-based applications and services.

This position is crafted for individuals passionate about data engineering and looking to make a significant impact within a dynamic data science team. If you are driven by innovation, possess a solid technical foundation, and are eager to tackle complex data challenges, we encourage you to apply and help us drive our data-driven initiatives forward.

We need individuals with a robust skill set in Google apps Script, JavaScript, PostgreSQL, Digital Ocean . Tell us where you shine!

To move forward in our hiring process, it's essential that you fill out our internal form available at:

https://wkf.ms/3SZO5nB

Completing this form is a critical step, allowing us to thoroughly evaluate your background and skills. Only those who submit this form will be considered for the position as it helps us identify the most suitable candidates for our team.

Please note that the selection process for this position typically spans 1-2 months due to the high volume of candidates. We aim to begin interviews 2-3 weeks after receiving applications. Please be patient with the process.