Data Engineer

hace 1 mes

Cartagena, Colombia SuperSummary A tiempo completo

**About the Company**

Lift Ventures, a remote-first startup studio whose portfolio of businesses has reached over 250 million consumers to date, is seeking a seasoned and talented Data Engineer for SuperSummary, our fast-growing EdTech business. SuperSummary is a subscription-based website and mobile app offering a library of professionally written study guides and other educational tools and resources on thousands of books for students, teachers, and readers of all types.

**About the Job**

At SuperSummary, data drives our most important decisions — from determining which literature titles to cover in our Study Guide Library to how to best meet user needs on our site. As an integral part of our data-centric approach, we’re looking for a skilled Data Engineer to join our dynamic team.

This role is 100% remote, located in Latin America. Our fully remote team is distributed across the globe with the majority of the team working in the United States, Brazil, and the Philippines.

**Key Functional Responsibilities**
- Perform production-level automation of data collection procedures, including web scrapers.
- Integrate multiple datasets in our cloud architecture.
- Lead the implementation of a Data Governance framework for the whole company.
- Develop scalable data pipelines preferably with Databricks.
- Identify and implement improvements to infrastructure and to our data collection and processing methods. Maintain, update, expand and provide quality assurance for existing data sets.
- Perform data collection, transformation and cleansing tasks: this includes writing/maintaining web scrapers and using external APIs.
- Work with stakeholders including the Executive, Product, and Content Production teams to assist with data-related technical issues and support their data needs.
- Collaborate with the Analytics team in building data models, intermediate tables, views and visualizations to provide insights to end business users.
- Help with the integration of data sources into BI solutions and other reporting / visualization tools.

**Sample Projects**
- Integrate traffic and session data from different sources (Amplitude, Google Analytics, AWR) with our current datasets.
- Lead the implementation of a Data Governance framework for the whole company. Address different data quality issues in our existing datasets.
- Create custom data models, tables and views for product analytics.
- Participate in the constant improvement of our search engine.
- Help with the integration of LLMs technologies into our data and product development activities.
- Professional working proficiency in English — we are a global team
- Minimum 3 years of strong expertise in Microsoft Azure (preferably) or another cloud platform, including core services like compute, storage, and databases.
- Strong experience building and deploying data projects in cloud environments using tools like Azure Data Factory, Synapse Analytics, S3, SageMaker (or equivalent in other cloud ecosystems) is a must
- 3-6 years of experience in data engineering with a strong foundation in Python and SQL programming languages
- Experience working within data governance frameworks, specially in the implementation of best practices for data quality assurance.
- Experience consuming API and integrating the retrieved data with other data sets.
- Experience integrating different sources into BI tools and providing business analysts with datasets for analytics.
- Proficient in data modeling and database creation and designing
- Bachelor’s degree or equivalent in a relevant field (engineering, computer science, etc.)
- Strong problem-solving skills and a creative approach to overcoming technical challenges.
- Excellent communication skills, capable of collaborating effectively with cross-functional and international teams

**Desired Skills and Experience**
- Strong BI background
- Data Governance experience
- Experience with APIs and tools related to web traffic and SEO: Google Analytics, Amplitude/Mixpanel, Hrefs, SEO.
- Proficient Python’s data analytics stack (Numpy, Pandas, etc.)

**Personal Attributes**
- Strong problem-solving skills and meticulous attention to detail.
- Ability to work independently and as part of a team in a fast-paced environment.
- Excellent time management skills with the ability to report progress towards goals.
- Proactive and innovative mindset, always seeking ways to improve processes and drive efficiency.
- Positive attitude, open to receiving and giving constructive feedback. Approach challenges with optimism, constantly looking for ways to improve.
- Adaptable and quick to learn new technologies and business domains.

**Perks & Benefits**
- Work with a distributed, global team that has been remote-first since 2018
- Competitive salary, health benefits, and vacation policy
- Workspace improvement stipend
- Make a big impact on a small Data team

**EEOC Statement

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