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Data Engineer

Remote:

Full Remote

Contract:

Full time

Experience:

Mid-level (2-5 years)

Work from:

Argentina

Offer summary

Qualifications:

Proven track record in data integration, Experience with data modeling and ETL processes, Knowledge of data quality assurance practices.

Key responsabilities:

Automate data collection procedures including web scrapers
Integrate multiple datasets in cloud architecture
Develop scalable data pipelines using Databricks
Implement Data Governance framework across the company
Assist stakeholders with data-related technical issues

SuperSummary Information Technology & Services TPE https://www.supersummary.com/

11 - 50 Employees

See more SuperSummary offers

Job description

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.

The Data Engineer will report to the Data Science Manager and interact frequently with stakeholders across the company — including product managers and department heads — who rely on data insights for building product features, creating POCs, outlining business strategy, and reporting on progress toward company goals.The ideal candidate has a proven track record of data integration, data modeling, data quality assurance, and ETL experience.

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.